Awesome gnn-based knowledge graphs

A collection of resources on gnn-based knowledge graphs (Github，Paper).
Welcome to submit a pull request to add more awesome papers.

- [x] [journal] [model] paper_title [[paper]](link) [[code]](link)

Survey

[2016] [survey] A Review of Relational Machine Learning for Knowledge Graphs [paper]
[Sustainability2018] [survey] A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications [paper]
[Synthesis Lectures on Data, Semantics, and Knowledge2020] [survey] Knowledge Graph [paper] [code]
[Communications of the ACM2020] [survey] Knowledge Graph [paper]
[2020] [survey] Knowledge Graphs [paper]
[TechrXiv2023] [survey] Knowledge Graph: A Survey [paper]
[TNNLS2022] [survey] A Survey on Knowledge Graphs:Representation, Acquisition and Applications [paper]
[AIRE2023] [survey] Knowledge Graphs: Opportunities and Challenges [paper]
[arXiv2023] [survey] On the Evolution of Knowledge Graphs: A Survey and Perspective [paper]
[COLING 2024] [survey] A Decade of Scholarly Research on Open Knowledge Graphs [paper]
[TKDE2022] [survey] What is Event Knowledge Graph: A Survey [paper]
[Information2023] [survey] Construction of Knowledge Graphs: State and Challenges [paper]
[ACM Computing Surveys2023] [survey] A comprehensive survey on automatic knowledge graph construction [paper]
[2022] [survey] DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population [paper] [code]
[2022] [survey] Generative Knowledge Graph Construction: A Review [paper]
[ITAIC2022] [survey] A Survey of Graph Neural Network Methods for Relation Extraction [paper]
[2016] [survey] A Survey on Entity Alignment of Knowledge Base [paper]
[VLDB2022] [survey] A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning [paper]
[2021] [survey] A Critical Assessment of State-of-the-Art in Entity Alignment [paper]
[2022] [survey] Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review [paper]
[ AI Open2021] [survey] A comprehensive survey of entity alignment for knowledge graphs [paper]
[AI Open2021] [survey] A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning System: A Survey [paper]
[Semantic Web2022] [survey] Neural Entity Linking: A Survey of Models Based on Deep Learning [paper]
[Research Square2022] [survey] Knowledge-Graph-Enabled Biomedical Entity Linking: A Survey [paper]
[2019] [survey] AmpliGraph: a Library for Representation Learning on Knowledge Graphs [paper] [code]
[AI Open2021] [survey] Network Representation Learning: A Macro and Micro View [paper]
[ACM Computing Surveys2024] [survey] Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces [paper]
[Information Fusion2022] [survey] Representation learning for knowledge fusion and reasoning in Cyber–Physical–Social Systems: Survey and perspectives [paper]
[Semantic Web2022] [survey] A Survey on Visual Transfer Learning using Knowledge Graphs [paper]
[CIKM2023] [survey] Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings [paper]
[2017] [survey] Open world Knowledge Graph Completion [paper]
[2020] [survey] A Survey on Graph Neural Networks for Knowledge Graph Completion [paper]
[2023] [survey] A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge [paper]
[2022] [survey] Temporal Knowledge Graph Completion: A Survey [paper]
[2022] [survey] A Survey on Temporal Knowledge Graphs-Extrapolation and Interpolation Tasks [paper]
[arXiv2023] [survey] A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects [paper] [code]
[2023] [survey] Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs [paper]
[2021] [survey] Knowledge graph quality control: A survey [paper]
[2022] [survey] Knowledge Graph Quality Management: a Comprehensive Survey [paper]
[ESWA2020] [survey] A Review: Knowledge Reasoning over Knowledge Graph [paper]
[Open AI2021] [survey] Neural, symbolic and neural-symbolic reasoning on knowledge graphs [paper]
[Fundamental Research2021] [survey] Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking [paper]
[Lecture Notes in Computer Science2022] [survey] An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs [paper]
[Electronic Science and Technology2022] [survey] Knowledge Graph and Knowledge Reasoning:A Systematic Review [paper]
[Journal of Sensor and Actuator Networks2022] [survey] An Overview of Knowledge Graph Reasoning: Key Technologies and Applications [paper]
[Applied Sciences2023] [survey] A Review of Knowledge Graph-Based Reasoning Technology in the Operation of Power Systems [paper]
[Journal of Electronic Science and Technology2022] [survey] Knowledge graph and knowledge reasoning: A systematic review [paper]
[CAICE2022] [survey] A survey of hybrid knowledge reasoning oriented to KG [paper]
[2022] [survey] Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective [paper]
[2022] [survey] Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal [paper]
[TPAMI2024] [survey] A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal [paper] [code]
[ICLR2024] [survey] Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning [paper] [code]
[2023] [survey] Comprehensible Artificial Intelligence on Knowledge Graphs: A survey [paper]
[IEEE Access2022] [survey] A Comprehensive Survey of Graph Neural Networks for Knowledge Graphs [paper]
[arXiv2020] [survey] Deep Learning on Knowledge Graph for Recommender System: A Survey [paper]
[ICOECA2022] [survey] Recommender System Using Knowledge Graph and Ontology: A Survey [paper]
[Data2022] [survey] A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings [paper]
[2022] [survey] A Survey of Knowledge-Enhanced Pre-trained Language Models [paper]
[Information Fusion2023] [survey] Fusing external knowledge resources for natural language understanding techniques: A survey [paper]
[AACL-IJCNLP2022] [survey] A Decade of Knowledge Graphs in Natural Language Processing: A Survey [paper]
[VLDB2021] [survey] A survey of RDF stores & SPARQL engines for querying knowledge graphs [paper]
[Expert Systems with Applications 2022] [survey] Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey [paper]
[Semantic Web2023] [survey] Multilingual Question Answering Systems for Knowledge Graphs—A Survey [paper]
[2021] [survey] Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices [paper]
[2021] [survey] Knowledge Graph Embeddings and Explainable AI [paper]
[Journal of Information Science2022] [survey] Knowledge-graph-based explainable AI: A systematic review [paper]
[Artificial Intelligence2022] [survey] Knowledge graphs as tools for explainable machine learning: A survey [paper]
[ACM Computing Surveys2022] [survey] Semantic Knowledge Graphs for the News: A Review [paper]
[Computers in Industry2021] [survey] Exploiting knowledge graphs in industrial products and services : A survey of key aspects, challenges, and future perspectives [paper]
[IEEE Access2021] [survey] Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review [paper]
[Journal of Web Semantics2023] [survey] From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods [paper]
[2022] [survey] Knowledge Graphs in Education and Employability: A Survey on Applications and Techniques [paper]
[CAICE2023] [survey] Research and application of intelligent search for knowledge graph of power grid dispatch and control [paper]
[2022] [survey] Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey [paper]
[KGSWC2022] [survey] A Survey on Knowledge Graph-based Methods for Automated Driving [paper]
[IEEE Access2022] [survey] Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities [paper]
[Journal of Biomedical Informatics2023] [survey] Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study [paper]
[Journal of Medical Systems2023] [survey] From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights [paper]
[2023] [survey] Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability [paper]
[Current Opinion in Structural Biology2022] [survey] Toward better drug discovery with knowledge graph [paper]
[arXiv2020] [survey] A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective [paper]
[TGDK2023] [survey] Large Language Models and Knowledge Graphs: Opportunities and Challenges [paper]
[arXiv2023] [survey] KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases [paper]
[TKDE2024] [survey] Unifying Large Language Models and Knowledge Graphs: A Roadmap [paper]
[ACL2024] [survey] Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey [paper]
[EMNLP2024] [survey] Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction [paper] [code]
[SSRN2022] [survey] What is a Multi-Modal Knowledge Graph: A Survey [paper]
[TKDE2024] [survey] Multi-Modal Knowledge Graph Construction and Application: A Survey [paper]
[Mathematics2023] [survey] A Survey on Multimodal Knowledge Graphs: Construction, Completion and Applications [paper]
[arXiv2024] [survey] Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey [paper] [code]
[TKDD2024] [survey] Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications. [paper]
[KDD2024] [survey] Graph Intelligence with Large Language Models and Prompt Learning [paper]
[World Wide Web2023] [survey] Entity alignment via graph neural networks: a component-level study [paper]
[Knowledge-Based Systems2024] [survey] A survey on temporal knowledge graph embedding: Models and applications [paper]
[Acadlore Trans2024] [M-DGNN] Enhanced Named Entity Recognition based on multi-feature fusion using dual Graph Neural Networks [paper]
[ACL2022] [GNNer] GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks [paper] [code]
[Expert Systems With Applications2023] [RWGNN] Randomly Wired Graph Neural Network for Chinese NER [paper]
[ACL2019] [LGN] A Lexicon-Based Graph Neural Network for Chinese NER [paper] [code]
[ICONIP2021] [MCGAT] A Multi-Channel Graph Attention Network for Chinese NER [paper]
[Expert Systems with Applications2022] [PGAT] Polymorphic graph attention network for Chinese NER [paper] [code]
[AAAI2021] [KaNa] Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity [paper]
[Scientific Reports2024] [BAC-GNN-CRF] Semantic-enhanced graph neural network for named entity recognition in ancient Chinese books [paper] [code]
[IJCNN2022] [Trigger-GNN] Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition [paper]
[ICASSP2022] [DGNN] Learning Common Dependency Structure for Unsupervised Cross-Domain Ner [paper]
[Information Processing and Management2024] [HGFNER] Chinese nested entity recognition method for the finance domain based on heterogeneous graph network [paper]
[MM2022] [RGCN] Learning from Different text-image Pairs: A Relation-enhanced Graph Convolutional Network for Multimodal NER [paper] [code]
[COLING 2024] [MOUSING] Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph [paper]
[COLING 2024] [CollabKG] CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction [paper] [code]
[arXiv2021] [] Data Augmentation for Cross-Domain Named Entity Recognition [paper] [code]
[AAAI2021] [] Nested Named Entity Recognition with Partially-Observed TreeCRFs [paper] [code]
[AAAI2021] [] Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance [paper] [code]
[arXiv2019] [TENER] TENER：adapting transformer encoder for name entity recognition [paper]
[Computer Applications and Software2021] [MHA-BiLSTM-CRF] Electronic medical record named entity recognition combined with selfattention BiLSTM-CRF [paper]
[arXiv2020] [] Few-Shot Named Entity Recognition: A Comprehensive Study [paper]
[AAAI2021] [] A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition [paper]
[ACL2016] [LSTM-CNNs-CRF] End-to-end sequence labeling via bidirectional LSTM-CNNs-CRF [paper]
[BigComp2020] [CNN-BiLSTM-CRF] Effect of character and word features in bidirectional LSTM-CRF for NER [paper]
[Computer Science2015] [BiLSTM-CRF] Bidirectional LSTM-CRF models for sequence tagging [paper]
[ACL2018] [并行RNN] Named entity recognition with parallel recurrent neural networks [paper]
[Journal of machine learning research2011] [Conv-CRF] Natural language processing（almost）from scratch [paper]
[CIKM2023] [] Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning [paper] [code]
[IEEE transactions on nanobioscience2019] [RD-CNN-CRF] Chinese clinical named entity recognition using residual dilated convolutional neural network with conditional random field [paper]
[Journal of Biomedical Informatics2021] [ALL CNN] Incorporating multilevel CNN and attention mechanism for Chinese clinical named entity recognition [paper]
[ACL2016] [] End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF [paper]
[NAACL2016] [] Neural Architectures for Named Entity Recognition [paper] [code]
[AAAI2021] [] MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization [paper] [code]
[Bioinformatics2004] [] Recognizing names in biomedical texts：a machine learning approach [paper]
[ACL2011] [] Recognizing named entities in tweets [paper]
[IEEE Computer Society1991] [] Extracting company names from text [paper]
[AAAI2021] [] CrossNER: Evaluating Cross-Domain Named Entity Recognition [paper] [code]
[AAAI2021] [] Continual Learning for Named Entity Recognition [paper]
[AAAI2021] [] Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model [paper]
[EMNLP2021] [] Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction [paper]
[AAAI2021] [GDPNet] GDPNet: Refining Latent Multi-View Graph for Relation Extraction [paper] [code]
[IJCNLP2019] [EoG] Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs [paper] [code]
[ACL2019] [AGGCN] Attention guided graph convolutional networks for relation extraction [paper]
[AAAI2020] [LST-AGGCN] Relation extractio with convolutional network over learnable syntax-transport graph [paper]
[Neural Computing and Applications2021] [DAGCN] Improve relation extraction with dual attention-guided graph convolutional networks [paper]
[COLING2020] [GEDA] Graph enhanced dual attention network for document-level relation extraction [paper]
[ACL2021] [A-GCN] Dependency-driven relation extraction with attentive graph convolutional networks [paper]
[EMNLP2018] [C-GCN] Graph convolution over pruned dependency trees improves relation extraction [paper]
[Meeting of the Association for Computational Linguistics2019] [GP-GNN] Graph Neural Networks with Generated Parameters for Relation Extraction [paper]
[IEEE Transactions on Neural Networks and Learning Systems2023] [DUALGRAPH] Few-Shot Relation Extraction With Dual Graph Neural Network Interaction [paper]
[WWW2021] [RECON] RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network [paper] [code]
[AAAI2021] [HeterGSAN] Document-Level Relation Extraction with Reconstruction [paper] [code]
[ACL2020] [LSR] Reasoning with latent structure refinement for document-level relation extraction [paper] [code]
[EMNLP2020] [GAIN] Double Graph Based Reasoning for Document-level Relation Extraction [paper] [code]
[BMC bioinformatics2023] [BioEGRE] BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network [paper]
[EMNLP2020] [GLRE] Global-to-local neural networks for document-level relation extraction [paper]
[Universitat Politècnica de Catalunya2024] [] Graph neural networks for relationship extraction from biomedical literature [paper]
[AAAI2021] [] Multi-view inference for relation extraction with uncertain knowledge [paper]
[EMNLP2021] [] Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction [paper] [code]
[AAAI2021] [] Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference [paper] [code]
[arXiv2021] [] Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction [paper]
[AAAI2021] [] Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling [paper] [code]
[EMNLP2021] [] MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction [paper]
[EMNLP2021] [] A Relation-Oriented Clustering Method for Open Relation Extraction [paper] [code]
[AAAI2021] [] Curriculum-Meta Learning for Order-Robust Continual Relation Extraction [paper] [code]
[AAAI2023] [] On Analyzing the Role of Image for Visual-enhanced Relation Extraction [paper] [code]
[AAAI2021] [] Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction [paper] [code]
[EMNLP2021] [] Modular Self-Supervision for Document-Level Relation Extraction [paper]
[EMNLP2021] [] Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction [paper] [code]
[AAAI2021] [] GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [paper] [code]
[COLING2014] [CDNN] Relation classification via convolutional deep neural network [paper]
[Computer ence2015] [depLCNN+NS] Semantic relation classification via convolutional neural networks with simple negative sampling [paper]
[AAAI2021] [] Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training [paper]
[IEEE Access2019] [Att-RCNN] A single attentionbased combination of CNN and RNN for relation classification [paper]
[AAAI2017] [] Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions [paper]
[EMNLP-CoNLL2012] [MV-RNN] Semantic compositionality through recursive matrix-vector spaces [paper]
[PACLIC2015] [BI-LSTM] Bidirectional long shortterm memory networks for relation classification [paper]
[ICCWAMTIP2019] [EA-LSTM] Subsequence-level entity attention LSTM for relation extraction [paper]
[EMNLP2021] [] Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction [paper] [code]
[EMNLP2021] [] Exploring Task Difficulty for Few-Shot Relation Extraction [paper]
[ESWC2023] [] RELD: A Knowledge Graph of Relation Extraction Datasets [paper] [code]
[International semantic web conference2005] [RelExt] RelExt：a tool for relation extraction from text in ontology extension [paper]
[NAACL2006] [Unrestricted Relation Discovery] Preemptive information extraction using unrestricted relation discovery [paper]
[AAAI2024] [] Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts [paper] [code]
[ACL2019] [GraphRel] GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction [paper]
[ACL2023] [TAG] A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction [paper] [code]
[ Applied Sciences2023] [ERHGA] Joint Extraction of Entities and Relations via Entity and Relation Heterogeneous Graph Attention Networks [paper]
[Transactions on Intelligent Systems and Technology2023] [ESEI] A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction [paper]
[Knowledge-Based Systems2021] [RIFRE] Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction [paper] [code]
[JMIR2022] [CPJE] Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks [paper]
[Soft Computing2024] [DGAT] Joint entity and relation extraction model based on directed-relation GAT oriented to Chinese patent texts [paper]
[EMNLP2023] [HGERE] Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks [paper]
[ICICR2022] [Bio-RIFRE] Chemical-Gene Relation Extraction with Graph Neural Networks and BERT Encoder [paper]
[TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS2023] [MVGNAS] Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction [paper] [code]
[COLING 2024] [BanglaAutoKGa] BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering [paper] [code]
[Applied Intelligence2022] [GraphJoint] A novel entity joint annotation relation extraction model [paper]
[Neurocomputing2020] [BILSTM-GCN] Joint extraction of entities and relations using graph convolution over pruned dependency trees [paper] [code]
[ACL2019] [] Joint type inference on entities and relations via graph convolutional networks [paper]
[arXiv2024] [] Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs [paper]
[ICPR2021] [] Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents [paper] [code]
[EMNLP2021] [] Entity Relation Extraction as Dependency Parsing in Visually Rich Documents [paper]
[AAAI2021] [] A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations [paper]
[AAAI2021] [] Progressive Multitask Learning with Controlled Information Flow for Joint Entity and Relation Extraction [paper]
[EMNLP 2021] [] A Partition Filter Network for Joint Entity and Relation Extraction [paper] [code]
[CCL2017] [] Joint Extraction of Multiple Relations and Entities by using a Hybrid Neural Network [paper]
[IHMSC2020] [Ch-MEL] Chapter-level entity relationship extraction method based on joint learning [paper]
[DSC2020] [Bert+BI-LSTM] An advanced BERT-based decomposition method for joint extraction of entities and relations [paper]
[arXiv2020] [CasRel] A novel hierarchical binary tagging framework for relational triple extraction [paper]
[DSC2019] [BI-LSTM+DCNN] Joint extraction of entities and relations based on multi-label classification [paper]
[EMNLP2021] [] Learning from Noisy Labels for Entity-Centric Information Extraction [paper] [code]
[ACL2017] [LSTM-LSTM-Bias] Joint extraction of entities and relations based on a novel tagging scheme [paper]
[ACL2016] [SPTree] End-to-end relation extraction using LSTMs on sequences and tree structures [paper]
[EMNLP2021] [] Uncovering Main Causalities for Long-tailed Information Extraction [paper] [code]
[EMNLP2021] [] Cost-effective End-to-end Information Extraction for Semi-structured Document Images [paper]
[EMNLP2021] [] Zero-Shot Information Extraction as a Unified Text-to-Triple Translation [paper] [code]
[EMNLP2021] [] Document-level Entity-based Extraction as Template Generation [paper] [code]
[EMNLP2021] [] Corpus-based Open-Domain Event Type Induction [paper] [code]
[EMNLP2021] [] Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction [paper] [code]
[EMNLP2021] [] Extracting Event Temporal Relations via Hyperbolic Geometry [paper] [code]
[EMNLP2021] [] Enhanced Language Representation with Label Knowledge for Span Extraction [paper] [code]
[EMNLP2021] [] Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction [paper] [code]
[AAAI2021] [] Span-Based Event Coreference Resolution [paper]
[EMNLP2021] [] Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention [paper] [code]
[EMNLP2021] [] Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context [paper]
[EMNLP2021] [] Importance Estimation from Multiple Perspectives for Keyphrase Extraction [paper]
[EMNLP2021] [] DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction [paper] [code]
[ESWC2023] [] IMKG: The Internet Meme Knowledge Graph [paper]
[ESWC2023] [] Boosting Knowledge Graph Generation from Tabular Data with RML Views [paper] [code]
[ESWC2023] [] LauNuts: A Knowledge Graph to Identify and Compare Geographic Regions in the European Union [paper] [code]
[ESWC2024] [] Generate and Update Large HDT RDF Knowledge Graphs on Commodity Hardware [paper] [code]
[ESWC2024] [] OfficeGraph: A Knowledge Graph of Office Building IoT Measurements [paper] [code]
[EMNLP2023] [OIE-to-KG] Linking Surface Facts to Large-Scale Knowledge Graphs [paper] [code]
[ESWC2024] [] Towards Cyber Mapping the German Financial System with Knowledge Graphs [paper]
[ISWC2023] [] The World Literature Knowledge Graph [paper]
[ISWC2023] [] The Holocaust Archival Material Knowledge Graph [paper] [code]
[ESWC2024] [] VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph [paper]
[ESWC2023] [] A Knowledge Graph of Contentious Terminology for Inclusive Representation of Cultural Heritage [paper]
[ISWC2023] [] MMpedia: A Large-Scale Multi-modal Knowledge Graph [paper] [code]
[CIKM2023] [] AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities [paper]
[AAAI2024] [] Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding [paper] [code]
[AAAI2021] [] FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction [paper]
[AAAI2024] [] Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search [paper]
[ESWC2024] [] Automation of Electronic Invoice Validation Using Knowledge Graph Technologies [paper]
[AAAI2023] [] Multi-Modal Protein Knowledge Graph Construction and Applications [paper]
[COLING 2024] [] Knowledge Graphs for Real-World Rumour Verification [paper] [code]
[ESWC2024] [FlexRML] FlexRML: A Flexible and Memory Efficient Knowledge Graph Materializer [paper] [code]
[ESWC2024] [PyGraft] PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips [paper] [code]
[COLING 2024] [] Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation [paper]
[ESWC2024] [] SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis [paper]
[COLING 2022] [VKGDR] Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval [paper] [code]
[ESWC2023] [] Understanding Customer Requirements - An Enterprise Knowledge Graph Approach [paper]
[WWW2023] [] Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks [paper] [code]
[ACL2023] [] Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks [paper] [code]
[EMNLP2023] [] IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions [paper] [code]
[EMNLP2021] [] A Novel Global Feature-Oriented Relational Triple Extraction Modelbased on Table Filling [paper] [code]
[AAAI2023] [] FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking [paper]
[WWW2023] [] The Harmonic Memory: a Knowledge Graph of harmonic patterns as a trustworthy framework for computational creativity [paper] [code]
[ESWC2024] [] Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis [paper] [code]
[AAAI2021] [] On Symbolic and Neural Commonsense Knowledge Graphs [paper]
[AAAI2021] [] Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning [paper]
[arXiv2021] [] XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment [paper]
[ISWC2023] [] Knowledge Graph Enhanced Language Models for Sentiment Analysis [paper]
[EMNLP2021] [] RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models [paper] [code]
[Journal of Web Semantics2015] [] Efcient sparql-to-sql with r2rml mappings [paper]
[2021] [AGLSTM] 用于关系抽取的注意力图长短时记忆神经网络 [paper]
[2020] [Self-Att-CNN] 采用自注意力机制和CNN融合的实体关系抽取 [paper]
[2021] [SelfAtt-BILSTM-CRF] 结合自注意力的BiLSTMCRF的电子病历命名实体识别 [paper]
[2020] [BI-GRU+CNN] 基于双向GRU和CNN的药物相互作用关系抽取 [paper]
[CIKM2023] [] KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks [paper] [code]
[ESWC2024] [] IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs [paper]
[VLDB2019] [] Efficient Knowledge Graph Accuracy Evaluation [paper]
[Information and Software Technology2024] [] Towards assessing the quality of knowledge graphs via differential testing [paper]
[Proceedings of the VLDB Endowment2024] [] Efficient and Reliable Estimation of Knowledge Graph Accuracy [paper]
[EMNLP2017] [] KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs [paper]
[KDD2022] [] Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration [paper]
[WWW2019] [] Tracy: Tracing facts over knowledge graphs and text [paper]
[WWW2021] [] Few-shot knowledge validation using rules [paper]
[CIKM2023] [] Knowledge Graph Error Detection with Hierarchical Path Structure [paper]
[AAAI2024] [] Knowledge Graph Error Detection with Contrastive Confidence Adaption [paper] [code]
[Semantic Web2020] [] Automatic detection of relation assertion errors and induction of relation constraints [paper]
[WWW2019] [] Triple trustworthiness measurement for knowledge graph [paper]
[Transactions on Database Systems2020] [] Catching numeric inconsistencies in graphs [paper]
[WWW2020] [] What is normal, what is strange, and what is missing in a knowledge graph: Unified characterization via inductive summarization [paper]
[WWW2020] [] Fast computation of explanations for inconsistency in large-scale knowledge graphs [paper]
[SIGMOD2020] [] Human-in-the-loop outlier detection [paper]
[WWW2021] [] Typing errors in factual knowledge graphs: Severity and possible ways out [paper]
[WWW2020] [] Correcting knowledge base assertions [paper]
[PVLDB2020] [] Capturing associations in graphs [paper]
[Transactions on Database Systems2020] [] Discovering graph functional dependencies [paper]
[ICDE2020] [] Outdated fact detection in knowledge bases [paper]
[Semantic Web2021] [] RDF graph validation using rule-based reasoning [paper]
[WWW2023] [] Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? [paper]
[ESWC2019] [] AYNEC: all you need for evaluating completion techniques in knowledge graphs [paper]
[ICDE2018] [] Knowledge Base Enhancement via Data Facts and Crowdsourcing [paper]
[EMNLP2023] [M-NTA] Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs [paper]
[AAAI2024] [] Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation [paper]
[EMNLP2021] [] Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion [paper] [code]
[EMNLP2021] [] Fine-grained Entity Typing via Label Reasoning [paper] [code]
[EMNLP2023] [MCLET] Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs [paper] [code]
[Knowledge based systems2020] [GNED] Graph neural entity disambiguation [paper]
[WWW2020] [DGCN] Dynamic Graph Convolutional Networks for Entity Linking [paper]
[WWW2020] [SGEL] High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking [paper]
[Expert Systems2021] [ CoGCN] CoGCN: Combining co-attention with graph convolutional network for entity linking with knowledge graphs [paper]
[NLPCC2023] [EL-Graph] Collective Entity Linking with Joint Subgraphs [paper]
[Data Intelligence2022] [HEGEL] Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs [paper]
[Automation in Construction 2023] [GNN-RE ] Two-stage Text-to-BIMQL semantic parsing for building information model extraction using graph neural networks [paper]
[COMAD2021] [ ED-GNN] Medical Entity Disambiguation Using Graph Neural Networks [paper]
[COLING2024] [MMR-FEK] Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge [paper] [code]
[TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2024] [MMGraph] Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution [paper]
[BigData2023] [S-GCN] Graph Neural Networks for Entity Matching [paper]
[IJCNN2021] [] Author Name Disambiguation Using Multiple Graph Attention Networks [paper]
[AAAI2022] [DeepType 2] DeepType 2: Superhuman Entity Linking All You Need Is Type Interactions [paper]
[IntelliSys2021] [] Disease Normalization with Graph Embeddings [paper]
[EMNLP2021] [] Highly Parallel Autoregressive Entity Linking with Discriminative Correction [paper] [code]
[AAAI2021] [] A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking [paper]
[AAAI2021] [] Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking [paper]
[arXiv2024] [EntGPT] EntGPT: Linking Generative Large Language Models with Knowledge Bases [paper]
[AAAI2021] [] A Lightweight Neural Model for Biomedical Entity Linking [paper] [code]
[EMNLP2021] [] Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing [paper]
[NeurIPS 2022] [] TempEL: Linking Dynamically Evolving and Newly Emerging Entities [paper]
[EMNLP2021] [] Low-Rank Subspaces for Unsupervised Entity Linking [paper] [code]
[AAAI2021] [RNM] Relation-Aware Neighborhood Matching Model for Entity Alignment [paper]
[WSDM2020] [MRAEA] MRAEA: an efficient and robust entity alignment approach for cross-lingual knowledge graph [paper]
[EMNLP2019] [HGCN] Jointly learning entity and relation representations for entity alignment [paper]
[IJCAI2019] [VR-GCN] A vectorized relational graph convolutional network for multirelational network alignment [paper]
[IJCAI2019] [RDGCN] Relation-aware entity alignment for heterogeneous knowledge graphs [paper]
[EMNLP2020] [EPEA] Knowledge graph alignment with entity-pair embedding [paper]
[AAAI2020] [AliNet] Knowledge graph alignment network with gated multi-hop neighborhood aggregation [paper]
[ACL2020] [NMN ] Neighborhood matching network for entity alignment [paper]
[EMNLP2020] [AttrGNN] Exploring and evaluating attributes, values, and structures for entity alignment [paper]
[WWW2023] [ACK-MMEA] Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment [paper]
[AAAI2021] [EVA] Visual Pivoting for (Unsupervised) Entity Alignment [paper] [code]
[WWW2023] [TEA] TEA: Time-aware Entity Alignment in Knowledge Graphs [paper] [code]
[EMNLP2021] [TEA-GNN] Time-aware Graph Neural Network for Entity Alignment betweenTemporal Knowledge Graphs [paper] [code]
[WWW2023] [DualMatch] Unsupervised Entity Alignment for Temporal Knowledge Graphs [paper] [code]
[AAAI2021] [DINGAL] Dynamic knowledge graph alignment [paper]
[AAAI2021] [DINGAL-B] Dynamic Knowledge Graph Alignment [paper]
[EMNLP2021] [ActiveEA] ActiveEA: Active Learning for Neural Entity Alignment [paper] [code]
[NeurIPS2024] [Lambda] Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases [paper]
[CIKM2022] [LargeGNN] Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding [paper] [code]
[EMNLP2019] [HMAN] Aligning cross-lingual entities with multi-aspect information [paper]
[ACL2019] [MuGNN ] Multi channel graph neural network for entity alignment [paper]
[IJCAI2020] [SSP] Global structure and local semanticspreserved embeddings for entity alignment [paper]
[COLING 2022] [ STEA ] A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs [paper] [code]
[NeurIPS2019] [GrAN] Graph Alignment Networks with Node Matching Scores [paper]
[ICDE2020] [CEA] Collective entity alignment via adaptive features [paper]
[EMNLP2018] [GCN-Align] Cross-lingual knowledge graph alignment via graph convolutional networks [paper]
[Association for Computational Linguistics2019] [KECG ] Semisupervised entity alignment via joint knowledge embedding model and cross-graph model [paper]
[AAAI2020] [GM-EHD-JEA] Coordinated reasoning for cross-lingual knowledge graph alignment [paper]
[ACL2019] [] Cross-lingual knowledge graph alignment via graph matching neural network [paper]
[WWW2024] [] Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets [paper] [code]
[AAAI2021] [] Improving the Efficiency and Effectiveness for BERT-based Entity Resolution [paper]
[AAAI2021] [] ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs [paper]
[IJCAI2017] [MTransE] Multilingual knowledge graph embeddings for cross-lingual knowledge alignment [paper]
[ISWC2017] [JAPE ] Cross-lingual entity alignment via joint attribute-preserving embedding [paper]
[IJCAI2018] [BootEA] Bootstrapping entity alignment with knowledge graph embedding [paper]
[IJCAI2018] [KDCoE] Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment [paper]
[IJCAI2019] [OTEA ] Improving cross-lingual entity alignment via optimal transport [paper]
[WWW2019] [SEA] Semisupervised entity alignment via knowledge graph embedding with awareness of degree difference [paper]
[IJCAI2019] [NAEA] Neighborhood-aware attentional representation for multilingual knowledge graphs [paper]
[EMNLP-IJCNLP2019] [SX19] Modeling multi-mapping relations for precise cross-lingual entity alignment [paper]
[ICDM2019] [AKE ] Guiding cross-lingual entity alignment via adversarial knowledge embedding [paper]
[AAAI2019] [AttrE] Entity alignment between knowledge graphs using attribute embeddings [paper]
[IJCAI2017] [IPTransE] Iterative entity alignment via joint knowledge embeddings [paper]
[ISWC2019] [TransEdge ] Transedge: Translating relation-contextualized embeddings for knowledge graphs [paper]
[IJCAI2019] [MultiKE] Multi-view knowledge graph embedding for entity alignment [paper]
[AAAI2020] [COTSAE] COTSAE: co-training of structure and attribute embeddings for entity alignment [paper]
[CIKM2012] [RuleMiner] An effective rule miner for instance matching in a web of data [paper]
[IJCAI2009] [RDFAI] Rdf-ai: an architecture for rdf datasets matching, fusion and interlink [paper]
[ISWC2009] [SILK] Discovering and maintaining links on the web of data [paper]
[LDOW2008] [LD-Mapper] Automatic interlinking of music datasets on the semantic web [paper]
[VLDB2011] [PARIS] Paris: Probabilistic alignment of relations, instances, and schema [paper]
[WWW2020] [CG-MuAlign] Collective multi-type entity alignment between knowledge graphs [paper]
[EMNLP2021] [] From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment [paper]
[ESWC2023] [] Structural Bias in Knowledge Graphs for the Entity Alignment Task [paper] [code]
[ESWC2018] [R-GCNs] Modeling relational data with graph convolutional networks [paper] [code]
[IJCAI2019] [M-GNN] Robust embedding with multi-level structures for link prediction [paper]
[WWW2023] [MSeaKG] Message Function Search for Knowledge Graph Embedding [paper]
[AAAI2022] [SE-GNN] How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View [paper]
[AAAI2023] [EARL] Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding [paper] [code]
[Knowledge-Based Systems2024] [decentRL] Distributed Representations of Entities in Open-World Knowledge Graphs [paper]
[ISWC2022] [HKGN] Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding [paper] [code]
[ICML2020] [GraIL] Inductive relation prediction by subgraph reasoning [paper]
[IJCAI2022] [SNRI] Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs [paper] [code]
[ICML2023] [INGRAM] InGram: Inductive Knowledge Graph Embedding via Relation Graphs [paper] [code]
[AAAI2021] [CoMPILE] Communicative Message Passing for Inductive Relation Reasoning [paper] [code]
[ICDE2022] [DEKG-ILP] Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction [paper]
[SIGIR2021] [RE-GCN] Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning [paper] [code]
[TKDE2024] [GTRL] GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method [paper] [code]
[EMNLP2020] [TeMP] TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion [paper] [code]
[KDD2021] [DACHA] DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation [paper]
[TASLP2023] [TARGAT] TARGAT: A time-aware relational graph attention model for temporal knowledge graph embedding [paper]
[ICLR2022] [TR-GAT] Time-Aware Relational Graph Attention Network for Temporal Knowledge Graph Embeddings [paper]
[ICLR2021] [xERTE] Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs [paper] [code]
[ICDE2024] [LogCL] Local-global history-aware contrastive learning for temporal knowledge graph reasoning [paper] [code]
[TPAMI2022] [HeteHG-VAE] Heterogeneous Hypergraph Variational Autoencoder for Link Prediction [paper]
[arXiv2024] [H2GNN] Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation [paper]
[AAAI2023] [DHGE] DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing [paper] [code]
[EMNLP2020] [STARE] Message Passing for Hyper-Relational Knowledge Graphs [paper] [code]
[ASONAM2022] [QUAD] Learning Representations for Hyper-Relational Knowledge Graphs [paper]
[TKDE2023] [CMGNN] Contrastive Multi-Modal Knowledge Graph Representation Learning [paper]
[TOMM2023] [HRGAT] Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion [paper] [code]
[CIKM2022] [] Gravity-inspired graph autoencoders for directed link prediction [paper]
[KDD2021] [LightCAKE] LightCAKE: A lightweight framework for context-aware knowledge graph embedding [paper]
[IEEE Transactions on Neural Networks and Learning Systems2021] [HRAN] Learning knowledge graph embedding with heterogeneous relation attention networks [paper]
[AAAI2021] [] Topology-aware correlations between relations for inductive link prediction in knowledge graphs [paper]
[AAAI2021] [] Communicative message passing for inductive relation reasoning [paper]
[Knowledge-Based Systems2022] [DKGE] Efficiently embedding dynamic knowledge graphs [paper]
[ICDE2023] [HRGAT ] Knowledge Graph Embedding Based on Graph Neural Network [paper]
[COLING 2024] [CoPET] Bring Invariant To Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting [paper] [code]
[ISWC2023] [] Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces [paper] [code]
[AAAI2023] [IterDE] IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings [paper]
[EMNLP2021] [] An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction [paper]
[ISWC2023] [] ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph [paper]
[COLING 2022] [ILKA] Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs [paper]
[EMNLP2023] [] Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning [paper] [code]
[AAAI2021] [] Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs [paper]
[AAAI2019] [LAN] Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding [paper] [code]
[AAAI2020] [InteractE] InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions [paper]
[Knowledge-Based Systems2022] [JointE] JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding [paper]
[Information Processing & Management2023] [ConvHLE] Knowledge graph embedding model with attention-based high-low level features interaction convolutional network [paper]
[Knowledge-Based Systems2022] [] Multiview feature augmented neural network for knowledge graph embedding [paper]
[AAAI2021] [] Dual Quaternion Knowledge Graph Embeddings [paper] [code]
[AAAI2021] [] 5* Knowledge Graph Embeddings with Projective Transformations [paper] [code]
[WWW2023] [] Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models [paper]
[AAAI2022] [GIE] Geometry interaction knowledge graph embeddings [paper] [code]
[COLING 2022] [] Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations [paper] [code]
[COLING 2024] [] Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion [paper] [code]
[COLING 2024] [DCNE] Dual Complex Number Knowledge Graph Embeddings [paper] [code]
[ACL2023] [] Compounding Geometric Operations for Knowledge Graph Completion [paper] [code]
[WWW2024] [] Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport [paper]
[COLING 2022] [RotateCT] RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space [paper]
[AAAI2024] [] NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning [paper] [code]
[ESWC2024] [] Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data [paper] [code]
[AAAI2021] [] ChronoR: Rotation Based Temporal Knowledge Graph Embedding [paper]
[ACL2023] [] TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline [paper] [code]
[AAAI2024] [] HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. [paper] [code]
[EMNLP2019] [] TuckER: Tensor Factorization for Knowledge Graph Completion [paper]
[Icml2011] [RESCAL] A Three-Way Model for Collective Learning on Multi-Relational Data [paper]
[AAAI2016] [HolE] Holographic Embeddings of Knowledge Graphs [paper]
[PMLR2016] [ComplEx] Complex Embeddings for Simple Link Prediction [paper]
[NeurIPS2018] [SimplE] Simple embedding for link prediction in knowledge graphs [paper]
[ICLR2019] [RotatE] Rotate: knowledge graph embedding by relational rotation in complex space [paper]
[NeurIPS2019] [QuatE] Quaternion knowledge graph embeddings [paper]
[COLING 2022] [KGE-CL] KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings [paper] [code]
[NeurIPS2013] [TransE] Translating Embeddings for Modeling Multi-relational Data [paper]
[AAAI2015] [TransR] Learning Entity and Relation Embeddings for Knowledge Graph Completion [paper]
[ACL2015] [TransD] Knowledge graph embedding via dynamic mapping matrix [paper]
[AAAI2014] [TransH] Knowledge Graph Embedding by Translating on Hyperplanes [paper]
[COLING 2024] [TransERR] TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation [paper] [code]
[Computer Science2013] [] Efficient Estimation of Word Representations in Vector Space [paper]
[CIKM2015] [KG2E] Learning to represent knowledge graphs with gaussian embedding [paper]
[computer science2015] [TransG] Transg: a generative mixture model for knowledge graph embedding [paper]
[AAAI2016] [TranSparse] Knowledge graph completion with adaptive sparse transfer matrix [paper]
[NAACL2016] [STransE] Stranse: a novel embedding model of entities and relationships in knowledge bases [paper]
[AAAI2016] [TransA] Locally adaptive translation for knowledge graph embedding [paper]
[COLING 2024] [] Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings [paper] [code]
[EMNLP2018] [HyTE] HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding [paper] [code]
[NeurIPS2013] [NTN] Reasoning with neural tensor networks for knowledge base completion [paper]
[Machine learning2014] [SME] A semantic matching energy function for learning with multirelational data [paper]
[arXiv2016] [RMNN] Probabilistic reasoning via deep learning: Neural association models [paper]
[NAACL2017] [ConvKB] A novel embedding model for knowledge base completion based on convolutional neural network [paper]
[NAACL2018] [KBGAN] Kbgan: adversarial learning for knowledge graph embeddings [paper]
[EMNLP2023] [RelEns-DSC] Relation-aware Ensemble Learning for Knowledge Graph Embedding [paper] [code]
[AAAI2018] [] Knowledge Graph Embedding with Iterative Guidance from Soft Rules [paper] [code]
[AAAI2023] [] Knowledge Graph Embedding by Normalizing Flows [paper] [code]
[CIKM2023] [] Metapath-Guided Data-Augmentation For Knowledge Graphs [paper]
[AAAI2022] [] TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs [paper]
[ISWC2023] [] A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning [paper] [code]
[AAAI2024] [] Towards Continual Knowledge Graph Embedding via Incremental Distillation [paper] [code]
[COLING 2024] [] Self-Knowledge Distillation for Knowledge Graph Embedding [paper] [code]
[AAAI2023] [] Analogical Inference Enhanced Knowledge Graph Embedding [paper] [code]
[ISWC2023] [] Entity-Relation Distribution-Aware Negative Sampling for Knowledge Graph Embedding [paper] [code]
[WWW2024] [] HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding [paper]
[ISWC2023] [] Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding [paper] [code]
[ESWC2024] [] Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization [paper] [code]
[AAAI2024] [] KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding [paper] [code]
[AAAI2023] [] Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs [paper] [code]
[AAAI2024] [] Editing Language Model-Based Knowledge Graph Embeddings [paper] [code]
[AAAI2021] [] PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding [paper]
[AAAI2021] [] Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction [paper]
[AAAI2023] [] Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction [paper]
[WWW2023] [] Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding [paper]
[WWW2023] [] Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning [paper] [code]
[AAAI2023] [] Learning Better Representations Using Auxiliary Knowledge [paper]
[WWW2024] [] A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs [paper] [code]
[ISWC2023] [] Biomedical Knowledge Graph Embeddings with Negative Statements [paper] [code]
[ISWC2023] [] Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case [paper]
[ISWC2023] [] Comparison of Knowledge Graph Representations for Consumer Scenarios [paper]
[AAAI2021] [] Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks [paper] [code]
[ISWC2023] [] TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs [paper] [code]
[COLING 2024] [PTBox] Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding [paper] [code]
[ACL2023] [] HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level [paper] [code]
[ACL2023] [] Shrinking Embeddings for Hyper-Relational Knowledge Graphs [paper] [code]
[WWW2024] [] Poisoning Attack on Federated Knowledge Graph Embedding [paper] [code]
[WWW2024] [SSTKG] SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding [paper]
[WWW2023] [] MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding [paper]
[CIKM2023] [] A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings [paper] [code]
[WWW2024] [] ReliK: A Reliability Measure for Knowledge Graph Embeddings [paper] [code]
[WWW2024] [] Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs [paper] [code]
[ESWC2023] [WGE] Two-View Graph Neural Networks for Knowledge Graph Completion [paper] [code]
[EMNLP2023] [TAGNet] Distance-Based Propagation for Efficient Knowledge Graph Reasoning [paper] [code]
[NeurIPS2021] [INDIGO] INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding [paper]
[WWW2021] [M2GNN] Mixed-curvature multi-relational graph neural network for knowledge graph completion [paper]
[Frontiers of Computer Science2024] [LR-GCN] Exploring & exploiting high-order graph structure for sparse knowledge graph completion [paper]
[AAAI2020] [RGHAT] Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion [paper]
[CIKM2021] [DisenKGAT] DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network [paper] [code]
[KDD2024] [GATH] Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach [paper]
[Neural Networks2022] [MRGAT] MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion [paper]
[Expert Systems with Applications2023] [DRR-GAT] Graph attention network with dynamic representation of relations for knowledge graph completion [paper]
[WWW2023] [KRACL] KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion [paper] [code]
[ACL2023] [LSMGA] Multilingual Knowledge Graph Completion with Language-Sensitive Multi-Graph Attention [paper] [code]
[Knowledge-based systems2022] [AR-KGAT] Association rules enhanced knowledge graph attention network [paper]
[COLING 2022] [DMoG ] Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts [paper]
[Computer‐Aided Civil and Infrastructure Engineering2023] [D-GNN] Graph‐based deep learning model for knowledge base completion in constraint management of construction projects [paper]
[WWW2023] [KGCF] Knowledge Graph Completion with Counterfactual Augmentation [paper] [code]
[] [CFLP] Learning from counterfactual links for link prediction [paper]
[CIKM2023] [KG-R3] A Retrieve-and-Read Framework for Knowledge Graph Link Prediction [paper] [code]
[COLING 2024] [HyGNet] Hyperbolic Graph Neural Network for Temporal Knowledge Graph Completion [paper]
[KDD2020] [] Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer [paper]
[SIGIR2023] [NP-FKGC] Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion [paper] [code]
[Knowledge-based systems2024] [GFedKG] GFedKG: GNN-based federated embedding model for knowledge graph completion [paper]
[Applied Intelligence 2024] [SR-GNN] Semantic-and relation-based graph neural network for knowledge graph completion [paper]
[IEEE Transactions on Neural Networks and Learning Systems2024] [SG-GCN] High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion [paper]
[ACL2023] [MA-GNN] Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion [paper]
[COLING 2024] [] Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis [paper] [code]
[IEEE Transactions on Emerging Topics in Computational Intelligence2024] [] Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion [paper]
[IEEE Access2020] [RAGAT] RAGAT: Relation aware graph attention network for knowledge graph completion [paper] [code]
[Knowledge-based systems2022] [MRGAT] Multi-relational graph attention networks for knowledge graph completion [paper]
[IEEE Access2024] [ISA-KGC] ISA-KGC: Integrated Semantics-Structure Analysis in Knowledge Graph Completion [paper]
[IEEE Access2020] [LSA-GAT] Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion [paper]
[Intelligent Systems Conference224] [TARGCN] A simple but powerful graph encoder for temporal knowledge graph completion [paper]
[COLING 2024] [KC-GenRe] KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion [paper] [code]
[arXiv2024] [UFKGC] Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion [paper]
[COLING 2024] [MPIKGC] Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models [paper] [code]
[ISWC2023] [] CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion [paper] [code]
[COLING 2024] [PReSA] Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion [paper] [code]
[COLING 2022] [ LASS] Joint Language Semantic and Structure Embedding for Knowledge Graph Completion [paper] [code]
[AAAI2024] [] Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion [paper]
[ACL2023] [] Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion [paper]
[ACL2023] [] Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion [paper] [code]
[ESWC2024] [] Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs [paper] [code]
[COLING 2024] [AdaMF-MAT] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion [paper] [code]
[AAAI2024] [] Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion [paper]
[CIKM2023] [HyperFormer] HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion [paper] [code]
[WWW2023] [] Event Prediction using Case-Based Reasoning over Knowledge Graphs [paper] [code]
[AAAI2023] [] Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs [paper]
[COLING 2024] [RENN] RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion [paper]
[CIKM2023] [] Rule-based Knowledge Graph Completion with Canonical Models [paper] [code]
[AAAI2023] [] Rule Induction in Knowledge Graphs Using Linear Programming [paper] [code]
[AAAI2021] [] Type-augmented Relation Prediction in Knowledge Graphs [paper]
[AAAI2023] [] Logic and Commonsense-Guided Temporal Knowledge Graph Completion [paper] [code]
[KDD2024] [] Multi-modal Knowledge Graph Completion [paper]
[COLING 2022] [] Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding [paper]
[AAAI2024] [] LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation [paper]
[AAAI2024] [] Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs [paper]
[EMNLP2023] [NeuSTIP] NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs [paper]
[ACL2023] [] To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion [paper] [code]
[COLING 2022] [KG-S2S] Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion [paper] [code]
[WWW2023] [] Toward Degree Bias in Embedding-Based Knowledge Graph Completion [paper] [code]
[COLING 2022] [] Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective [paper]
[ISWC2023] [] Causal Inference-Based Debiasing Framework for Knowledge Graph Completion [paper] [code]
[WWW2024] [] Fact Embedding through Diffusion Model for Knowledge Graph Completion [paper]
[AAAI2024] [] Modeling Knowledge Graphs with Composite Reasoning [paper] [code]
[AAAI2024] [] Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion [paper]
[ACL2023] [] GreenKGC: A Lightweight Knowledge Graph Completion Method [paper] [code]
[AAAI2020] [] Diachronic Embedding for Temporal Knowledge Graph Completion [paper] [code]
[ ACL (Findings)2023] [] History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion [paper]
[WWW2024] [] IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion [paper]
[WWW2023] [] Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion [paper]
[AAAI2022] [] Temporal Knowledge Graph Completion using Box Embeddings [paper]
[Knowledge-Based Systems2020] [] Tucker decomposition-based Temporal Knowledge Graph Completion [paper]
[EMNLP2023] [] Knowledge Graph Compression Enhances Diverse Commonsense Generation [paper] [code]
[EMNLP2020] [RE-Net] Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs [paper] [code]
[COLING 2024] [DHE-TKG] Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding [paper]
[ACL2023] [L2TKG] Learning Latent Relations for Temporal Knowledge Graph Reasoning [paper]
[SIGIR2023] [RPC] Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning [paper]
[COLING 2024] [SRPL] Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning [paper]
[KDD2024] [STDN] Intricate spatiotemporal dependency learning for temporal knowledge graph reasoning [paper]
[WWW2023] [MTKGE] Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph [paper]
[KDD2021] [TGAP] Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion [paper]
[IJCAI2022] [TiRGN] TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning [paper]
[EMNLP2022] [HiSMatch] HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning [paper]
[EMNLP2021] [TANGO] Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs [paper] [code]
[WWW2023] [HGLS] Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning [paper]
[Artificial Intelligence2024] [TiPNN ] Temporal inductive path neural network for temporal knowledge graph reasoning [paper]
[KDD2021] [TPmod] TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion [paper]
[WSDM 2022] [EvoKG] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs [paper]
[Information Processing and Management2024] [TaReT] TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion [paper]
[CIKM2022] [DA-Net] DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning [paper]
[Knowledge-Based Systems2022] [EvoExplore] Temporal knowledge graph representation learning with local and global evolutions [paper] [code]
[AAAI2024] [LSGAT] Interpreting Temporal Knowledge Graph Reasoning [paper]
[Neurocomputing2023] [HGAT] Hierarchical graph attention network for temporal knowledge graph reasoning [paper]
[ Expert Systems with Applications2024] [𝖫𝖬𝖲] Learning multi-graph structure for Temporal Knowledge Graph reasoning [paper]
[ISWC2022] [CRNet] CRNet: Modeling Concurrent Events over Temporal Knowledge Graph [paper] [code]
[Neurocomputing2020] [Deep-IDA*] Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture [paper]
[ICML2022] [CFLP] Learning from Counterfactual Links for Link Prediction [paper] [code]
[WSDM2022] [NoGE] Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction [paper] [code]
[Bioinformatics2021] [KG4SL] KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers [paper] [code]
[ICLR2020] [ExpressGNN] Efficient probabilistic logic reasoning with graph neural networks [paper]
[ICLR2020] [DPMPN] Dynamically pruned message passing networks for large-scale knowledge graph reasoning [paper]
[CAC2020] [CS-GNN-N] Knowledge reasoning method for military decision support knowledge graph mixing rule and graph neural networks learning together [paper]
[CCKS2021] [T-GraphR] Text-guided legal knowledge graph reasoning [paper]
[AAAI2016] [DNGR] Deep neural networks for learning graph representations [paper]
[Neurocomputing2021] [TRAR] Target relational attention-oriented knowledge graph reasoning [paper]
[AAAI2021] [] Relation-aware Graph Attention Model With Adaptive Self-adversarial Training [paper]
[WWW2022] [] Knowledge Graph Reasoning with Relational Digraph [paper] [code]
[AAAI2022] [] Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities [paper]
[AAAI2021] [] Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs [paper] [code]
[KDD2019] [GENI] Estimating node importance in knowledge graphs using graph neural networks [paper]
[AAAI2016] [DKRL] Representation learning of knowledge graphs with entity descriptions [paper]
[AAAI2018] [ConMask] Open-world knowledge graph completion [paper]
[CIKM2017] [MT-KGNN] Multi- task neural network for non- discrete attribute prediction in knowledge graphs [paper]
[AAAI2018] [ConvE] Convolutional 2D knowledge graph embeddings [paper] [code]
[High Technology Letters2021] [ConvKG] Joint learning based on multi-shaped filters for knowledge graph completion [paper]
[AAAI2015] [Path-RNN] Compositional vector space models for knowledge base inference [paper]
[arXiv2016] [IRNs] Traversing knowledge graph in vector space without symbolic space guidance [paper]
[CCKS2018] [DSKG] DSKG: a deep sequential model for knowledge graph completion [paper]
[WWW2024] [] UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph [paper]
[IJCAI2022] [] Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure [paper]
[AAAI2021] [] Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling [paper]
[AAAI2021] [] Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders [paper]
[COLING 2022] [Ruleformer] Ruleformer: Context-aware Rule Mining over Knowledge Graph [paper] [code]
[COLING 2022] [Eureka] Eureka: Neural Insight Learning for Knowledge Graph Reasoning [paper]
[NeurIPS2022] [] Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs [paper]
[EMNLP2017] [DeepPath] DeepPath: a reinforcement learning method for knowledge graph reasoning [paper]
[ICLR2017] [MINERVA] Go for a walk and arrive at the answer: reasoning over paths in knowledge bases using reinforcement learning [paper]
[ICDMW2018] [MARLPaR] Path reasoning over knowledge graph: a multi-agent and reinforcement learning based method [paper]
[Knowledge-Based Systems2020] [GRL] GRL: knowledge graph completion with GAN- based reinforcement learning [paper]
[Neural Networks2021] [DAPath] DAPath: distanceaware knowledge graph reasoning based on deep reinforcement learning [paper]
[EMNLP-IJCNLP2019] [] Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations [paper] [code]
[EMNLP-IJCNLP2019] [] Collaborative Policy Learning for Open Knowledge Graph Reasoning [paper] [code]
[EMNLP2020] [] Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning [paper] [code]
[IJCAI2020] [] Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning [paper]
[EMNLP2020] [] Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph [paper] [code]
[AAAI2020] [] Reasoning on Knowledge Graphs with Debate Dynamics [paper]
[EMNLP2019] [] Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning [paper]
[ICLR2020] [] QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS [paper] [code]
[WWW2019] [] Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning [paper]
[EMNLP2010] [FOIL] Learning first-order horn clauses from web text [paper]
[ IEEE signal processing letters1999] [DL (description logic)] Blind source separation of more sources than mixtures using overcomplete representations [paper]
[NeurIPS2018] [] Embedding Logical Queries on Knowledge Graphs [paper] [code]
[ICLR2021] [] RNNLOGIC: LEARNING LOGIC RULES FOR REASONING ON KNOWLEDGE GRAPHS [paper] [code]
[NeurIPS2019] [] DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs [paper]
[ACL2016] [CPRA] Knowledge base completion via coupled path ranking [paper]
[Machine learning2010] [PRA] Relational retrieval using a combination of path-constrained random walks [paper]
[EMNLP2015] [SFE] Efficient and expressive knowledge base completion using subgraph feature extraction [paper]
[SKG2016] [KGRL] KGRL: an OWL2 RL reasoning system for large scale knowledge graph [paper]
[SIGMOD2016] [OP] Ontological pathfinding [paper]
[AKBC2013] [OWL-EL] Ontology- aware partitioning for knowledge graph identification [paper]
[AAAI2024] [] TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning [paper] [code]
[ACL2023] [] Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs [paper] [code]
[Journal of Machine Learning Research2017] [HL-MRFs] Hingeloss Markov random fields and probabilistic soft logic [paper]
[NIPS2012] [PSL] A short introduction to probabilistic soft logic [paper]
[SIGMOD2014] [ProbKB] Knowledge expansion over probabilistic knowledge bases [paper]
[Machine learning2006] [MLNs] Markov logic networks [paper]
[CIKM2013] [ProPPR] Programming with personalized pagerank: a locally groundable firstorder probabilistic logic [paper]
[Communications of the ACM2018] [NELLs] Never-ending learning [paper]
[WWW2013] [AMIE] AMIE: association rule mining under incomplete evidence in ontological knowledge bases [paper]
[WWW2012] [RESCAL-Logit] Factorizing YAGO: scalable machine learning for linked data [paper]
[arXiv2017] [MF-TF] Joint matrix-tensor factorization for knowledge base inference [paper]
[Pattern Recognition and Artificial Intelligence2017] [PRESCAL] Knowledge graph reasoning based on paths of tensor factorization [paper]
[IJCAI2016] [TEKE] Text-enhanced representation learning for knowledge graph [paper]
[NeurIPS2019] [pLogicNet] Probabilistic logic neural networks for reasoning [paper]
[ ICLR2014] [DistMult] Embedding entities and relations for learning and inference in knowledge bases [paper]
[EMNLP2016] [KALE] Jointly embedding knowledge graphs and logical rules [paper]
[WWW2019] [IterE] Iteratively learning embeddings and rules for knowledge graph reasoning [paper]
[PMLR2017] [Know-Evolve] Know- evolve: deep temporal reasoning for dynamic knowledge graphs [paper]
[AAAI2019] [UGKE] Embedding uncertain knowledge graphs [paper]
[Computer Science2015] [PTransE] Modeling relation paths for representation learning of knowledge bases [paper]
[COLING 2024] [] EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs [paper] [code]
[WWW2024] [] Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs [paper]
[AAAI2024] [] Bayesian Inference with Complex Knowledge Graph Evidence [paper] [code]
[PMLR2020] [] Learning Reasoning Strategies in End-to-End Differentiable Proving [paper] [code]
[COLING 2022] [EngineKG] Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference [paper] [code]
[AAAI2024] [] Anchoring Path for Inductive Relation Prediction in Knowledge Graphs [paper] [code]
[WWW2024] [] Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning [paper] [code]
[EMNLP2019] [] DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning [paper]
[AAAI2021] [] GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning [paper]
[NeurIPS2020] [] Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs [paper] [code]
[NeurIPS2019] [] Probabilistic Logic Neural Networks for Reasoning [paper]
[ICML2017] [] Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs [paper] [code]
[WWW2023] [] Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning [paper]
[AAAI2023] [] Temporal Knowledge Graph Reasoning with Historical Contrastive Learning [paper] [code]
[COLING 2024] [] Selective Temporal Knowledge Graph Reasoning [paper]
[WWW2023] [HamQA] Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs [paper]
[NAACL2022] [JointLK] JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering [paper]
[EMNLP2022] [ACENet] ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph [paper]
[ESWC2024] [QAGCN] QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs [paper] [code]
[NAACL2021] [QA-GNN] QA-GNN: Reasoning with language models and knowledge graphs for question answering [paper]
[ICML2022] [CBR-SUBG] Knowledge Base Question Answering by Case-based Reasoning over Subgraphs [paper]
[Arxiv2022] [SR] Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering [paper] [code]
[WWW2020] [DELFT] Complex factoid question answering with a free-text knowledge graph [paper]
[CIKM2021] [Exaqt] Complex Temporal Qestion Answering on Knowledge Graph [paper] [code]
[IEEE TNNLS2023] [Graph2Seq] Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks. [paper]
[NeurIPS2019] [] Relational graph representation learning for open-domain question answering [paper]
[ NAACL-HLT2021] [] A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems [paper]
[COLING 2024] [Prog-TQA] Self-Improvement Programming for Temporal Knowledge Graph Question Answering [paper]
[EMNLP2024] [] CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering [paper] [code]
[COLING 2024] [] Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering [paper]
[AAAI2021] [] Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering [paper]
[AAAI2023] [] NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs [paper] [code]
[ACL2023] [] Multi-granularity Temporal Question Answering over Knowledge Graphs [paper] [code]
[WWW2024] [] Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph [paper]
[ESWC2023] [] GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering [paper] [code]
[COLING 2022] [] Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph [paper] [code]
[ISWC2023] [] ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs [paper] [code]
[EMNLP2023] [ReasoningLM] ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph [paper] [code]
[WWW2023] [] Knowledge Graph Question Answering with Ambiguous Query [paper] [code]
[EMNLP2021] [] End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs [paper]
[AAAI2021] [] Unanswerable Question Correction in Question Answering over Personal Knowledge Base [paper]
[AAAI2021] [] Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering [paper]
[COLING 2024] [] Retrieval-based Question Answering with Passage Expansion Using a Knowledge Graph [paper]
[WWW2023] [] TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs [paper]
[CIKM2023] [] Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs [paper]
[ACL2023] [] Direct Fact Retrieval from Knowledge Graphs without Entity Linking [paper]
[WWW2024] [] Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval [paper] [code]
[AAAI2021] [] Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation [paper]
[CIKM2021] [DSKReG] DSKReG: Differentiable sampling on knowledge graph for recommendation with relational GNN [paper]
[arXiv2019] [GraphSW] GraphSW: A training protocol based on stage-wise training for GNN-based recommender model [paper]
[ICTAI2021] [SARC] SARC: Split-and-recombine networks for knowledge-based recommendation [paper]
[Expert Systems with Applications2021] [KLGCN] KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems [paper]
[IEEE Transactions on knowledge and data engineering2021] [CGAT] Contextualized graph attention network for recommendation with item knowledge graph [paper]
[KDD2019] [KGAT] KGAT: Knowledge Graph Attention Network for Recommendation [paper] [code]
[WWW2021] [KGIN] Learning intents behind interactions with knowledge graph for recommendation [paper]
[KBS2020] [HAGERec] HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation [paper]
[CIKM2021] [KCAN] Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation [paper]
[SIGIR 2020] [JNSKR] Jointly non-sampling learning for knowledge graph enhanced recommendation [paper]
[WWW2019] [KGCN] Knowledge Graph Convolutional Networks for Recommender Systems [paper] [code]
[KDD2019] [KGNN-LS] Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems [paper] [code]
[CIKM2023] [DIKGNN] Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation [paper]
[CIKM2023] [SDK] Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph [paper]
[ICDM2021] [HyperTeNet] HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation [paper] [code]
[Future Generation Computer Systems2023] [SSAR-GNN] SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks [paper]
[CIKM2019] [Fi-GNN] Fi-GNN: Modeling feature interactions via graph neural networks for CTR prediction [paper]
[AAAI2020] [KCGN] Knowledge-aware Coupled Graph Neural Network for Social Recommendation [paper] [code]
[AAAI2020] [KHGT] Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation [paper] [code]
[CIKM2023] [MPKG] Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training [paper]
[] [DKMN] Dual knowledge multimodal network for recommender system [paper]
[CIKM2023] [] KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation [paper]
[AAAI2021] [] Knowledge-Enhanced Top-K Recommendation in Poincare Ball [paper]
[WWW2024] [] Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning [paper]
[COLING 2024] [] Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users [paper]
[CIKM2023] [] KGPR: Knowledge Graph Enhanced Passage Ranking [paper] [code]
[EMNLP2023] [ReasoningLM] ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph [paper]
[AAAI2022] [JAKET] JAKET: Joint Pre-training of Knowledge Graph and Language Understanding [paper]
[arXiv2024] [GOProteinGNN] GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning [paper] [code]
[ACL2020] [ASGARD] Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward [paper]
[Expert Systems2024] [CogNLG] CogNLG: Cognitive graph for KG-to-text generation [paper]
[ACL2021] [] Few-shot knowledge graph-to-text generation with pretrained language models [paper]
[EMNLP2023] [] Enhancing Biomedical Lay Summarisation with External Knowledge Graphs [paper] [code]
[CIKM2020] [] Knowledge-enhanced personalized review generation with capsule graph neural network [paper] [code]
[ASONAM2022] [] DEAP-FAKED: Knowledge graph based approach for fake news detection [paper]
[CIKM2020] [] FANG: Leveraging Social Context for Fake News Detection Using Graph Representation [paper]
[ICMR2020] [KMGCN] Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks [paper]
[EMNLP2021] [] Injecting Entity Types into Entity-Guided Text Generation [paper]
[COLING 2022] [GAP] GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation [paper]
[EMNLP2023] [] Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction [paper]
[EMNLP2023] [] Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs [paper] [code]
[COLING 2022] [] Multi-Document Scientific Summarization from a Knowledge Graph-Centric View [paper] [code]
[AAAI2024] [MKG-FENN] MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction [paper] [code]
[Bioinformatics2022] [LaGAT] LaGAT: link-aware graph attention network for drug– drug interaction prediction [paper] [code]
[Bio2021] [SumGNN] SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization [paper] [code]
[IJCAI2020] [KGNN] KGNN: Knowledge graph neural network for drug-drug interaction prediction [paper]
[Bioinformatics2021] [MUFFIN] MUFFIN: multi-scale feature fusion for drug–drug interaction prediction [paper]
[Computers in Biology and Medicine2024] [MSKG-DDI] An effective framework for predicting drug–drug interactions based on molecular substructures and knowledge graph neural network [paper]
[IEEE TNNLS2023] [MK-GNN] Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction [paper]
[Briefings in bioinformatics2022] [DeepLGF] A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks [paper]
[Briefings in Bioinformatics2023] [HetDDI] HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction [paper]
[BIBM2024] [KGE GCLR] A Disease-Drug Interaction Prediction FrameworkBased on Knowledge Graph and Graph Contrastive Learning for Recommendation System [paper]
[arXiv2019] [GENN] GENN: Predicting correlated drug-drug interactions with graph energy neural networks [paper]
[Communications Medicine2024] [KnowDDI] Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning [paper]
[Expert Systems with Applications2023] [SGS] Novel medical question and answer system: Graph convolutional neural network based with knowledge graph optimization [paper]
[SIGIR2022] [KETCH] KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums [paper]
[ACM Transactions on Information Systems2023] [MedRec] Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation [paper]
[neurips2024] [] Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series [paper]
[AAAI2024] [CDHse] Biomedical Knowledge Graph Embedding with Householder Projection [paper]
[Frontiers in Energy Research2021] [] Power system network topology identification based on knowledge graph and graph neural network [paper]
[WI-IAT2019] [] Graph-based knowledge tracing: Modeling student proficiency using graph neural network [paper] [code]
[Journal of Lightwave Technology2021] [] Fault localization based on knowledge graph in software-defined optical networks [paper]
[SPIE2020] [] Improving situational awareness with collective artificial intelligence over knowledge graphs [paper]
[IEEE Access2021] [] News image-text matching with news knowledge graph [paper]
[AAAI2023] [] Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval [paper]
[AAAI2023] [] Scene Graph to Image Synthesis via Knowledge Consensus [paper]
[AAAI2023] [] KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations [paper] [code]
[CIKM2023] [] UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment [paper]
[AAAI2021] [] Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines [paper] [code]
[Complex & Intelligent Systems2024] [] KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph [paper]
[arXiv2024] [] KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation [paper] [code]
[ICML2024] [ToG] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph [paper] [code]
[arXiv2024] [] Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs [paper]
[ACL findings2024] [] Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution [paper] [code]
[WWW2024] [] Unifying Local and Global Knowledge: Empowering Large Language Models as Political Experts with Knowledge Graphs [paper]
[AAAI2024] [] Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting [paper]
[AAAI2021] [] KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning [paper] [code]
[AAAI2021] [] Humor Knowledge Enriched Transformer for Understanding Multimodal Humor [paper]
[AAAI2021] [] LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching [paper]
[AAAI2021] [] Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling [paper]
[COLING 2024] [] DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment [paper]
[AAAI2024] [] KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs [paper] [code]
[CIKM2023] [] Logistics Audience Expansion via Temporal Knowledge Graph [paper]
[CIKM2023] [KGSimple] Can Knowledge Graphs Simplify Text [paper] [code]
[AAAI2024] [] Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs [paper]
[COLING 2024] [KCL] KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning [paper]
[WWW2023] [] Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network [paper] [code]
[CIKM2023] [] Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs [paper] [code]
[COLING 2022] [TopKG] TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph [paper]
[AAAI2024] [] Knowledge Graph Prompting for Multi-Document Question Answering [paper] [code]
[AAAI2024] [] CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs [paper]
[AAAI2021] [] Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions [paper] [code]
[AAAI2021] [] Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Fast LSTM for Long Text Classification [paper]
[AAAI2021] [] Knowledge-Guided Object Discovery with Acquired Deep Impressions [paper]
[AAAI2021] [] Judgment Prediction via Injecting Legal Knowledge into Neural Networks [paper]
[AAAI2020] [] Knowledge-driven Natural Language Understanding of English Text and its Applications [paper]
[WWW2024] [] GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph [paper] [code]
[IEEE transactions on neural networks2008] [GNN] The graph neural network model [paper]
[IJCNN2010] [Graph ESN] Graph echo state networks [paper]
[ICLR2016] [GGNN] Gated graph sequence neural networks [paper]
[PMLR2018] [SSE] Learning steady-states of iterative algorithms over graphs [paper]
[Computer Science2013] [GCN] Spectral networks and locally connected networks on graphs [paper]
[NeurIPS2017] [GraphSAGE] Inductive representation learning on large graphs [paper]
[ICLR2020] [SACN] Composition based multi-relational graph convolutional networks [paper]
[AAAI2019] [CompGCN] End-to-end structureaware convolutional networks for knowledge base completion [paper]
[ICLR2018] [GAT] Graph attention networks [paper]
[arXiv2018] [GaAN] GaAN: gated attention networks for learning on large and spatio- temporal graphs [paper]
[KDD2016] [SDNE] Structural deep network embedding [paper]
[NIPS2016] [GAE] Variational graph auto-encoders [paper]
[arXiv2018] [ARGA] Adversarially regularized graph autoencoder for graph embedding [paper]
[arXiv2018] [DGMG] Learning deep generative models of graphs [paper]
[PMLR2018] [NetGAN] NetGAN: generating graphs via random walks [paper]
[ICLR2018] [DCRNN] Diffusion convolutional recurrent neural network: data- driven traffic forecasting [paper]
[IJCAI2018] [ST-GCN] Spatio- temporal graph convolutional networks: a deep learning framework for traffic forecasting [paper]
[IJCAI2019] [GWN] Graph wavenet for deep spatial-temporal graph modeling [paper]
[AAAI2020] [GMAN] GMAN: a graph multi- attention network for traffic prediction [paper]
[Knowledge-Based Systems2022] [TFGAN] TFGAN: traffic forecasting using generative adversarial network with multigraph convolutional network [paper]
[arXiv2019] [BERT] BERT：pretraining of deep bidirectional transformers for language understanding [paper]
[ESWC2024] [] SCOOP All the Constraints' Flavours for Your Knowledge Graph [paper] [code]
[ESWC2024] [] SousLeSens - A Comprehensive Suite for the Industrial Practice of Semantic Knowledge Graphs [paper]
[ESWC2023] [] REGNUM: Generating Logical Rules with Numerical Predicates in Knowledge Graphs [paper] [code]
[ESWC2023] [] iSummary: Workload-Based, Personalized Summaries for Knowledge Graphs [paper]
[ESWC2023] [] Whyis 2: An Open Source Framework for Knowledge Graph Development and Research [paper] [code]
[ESWC2023] [] SemReasoner - A High-Performance Knowledge Graph Store and Rule-Based Reasoner [paper]
[ESWC2023] [] LIS: A Knowledge Graph-Based Line Information System [paper]
[ISWC2023] [] How is Your Knowledge Graph Used: Content-Centric Analysis of SPARQL Query Logs [paper] [code]
[ISWC2023] [] Comprehensive Analysis of Freebase and Dataset Creation for Robust Evaluation of Knowledge Graph Link Prediction Models [paper] [code]
[ISWC2023] [] SPARQL_edit: Editing RDF Literals in Knowledge Graphs via View-Update Translations [paper] [code]
[ISWC2023] [] Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text [paper] [code]
[ISWC2023] [] AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape [paper]
[ISWC2023] [] The Wikibase Approach to the Enslaved.Org Hub Knowledge Graph [paper] [code]
[ACL2023] [] FactKG: Fact Verification via Reasoning on Knowledge Graphs [paper] [code]
[AAAI2024] [] KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding [paper]
[AAAI2024] [] CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation [paper] [code]
[AAAI2024] [] The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education [paper]
[AAAI2024] [] Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data [paper]
[AAAI2023] [] PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs [paper] [code]
[WWW2023] [] SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data [paper] [code]
[WWW2023] [] Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer [paper] [code]
[arXiv2021] [] PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction [paper]
[arXiv2021] [] Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing [paper]
[AAAI2021] [] KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification [paper]
[AAAI2021] [] DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues [paper] [code]
[AAAI2021] [] Comprehension and Knowledge [paper]
[AAAI2021] [] Hierarchical Relational Inference [paper]
[AAAI2021] [] Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning [paper]
[AAAI2021] [] Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching [paper]
[AAAI2021] [] Neural Relational Inference with Efficient Message Passing Mechanisms [paper]
[AAAI2021] [] Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft [paper]
[AAAI2021] [] Few-Shot Class-Incremental Learning via Relation Knowledge Distillation [paper]
[AAAI2021] [] Encoding Human Domain Knowledge to Warm Start Reinforcement Learning [paper] [code]
[AAAI2021] [] Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing [paper] [code]
[NeurIPS2018] [SEAL] Link prediction based on graph neural networks [paper]
[AAAI2020] [EvolveGCN] EvolveGCN: Evolving graph convolutional networks for dynamic graphs [paper]
[arXiv2019] [HDGI] Heterogeneous deep graph infomax [paper]
[arXiv2019] [H-GCN] Hierarchical graph convolutional networks for semi-supervised node classification [paper]
[CIKM2023] [] Knowledge Graphs for Knowing More and Knowing for Sure (Keynote Talks) [paper]
[CIKM2023] [] Workshop on Enterprise Knowledge Graphs using Large Language Models [paper]
[ESWC2023] [] Transformer Based Semantic Relation Typing for Knowledge Graph Integration [paper] [code]
[EMNLP2023] [] Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation [paper] [code]
[arXiv2024] [] MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning [paper] [code]
[TNNLS2022] [] Medical Knowledge based Graph Neural Network for Medication Combination Prediction [paper] [code]
[CAI2024] [] Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge [paper] [code]

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