| description | 图神经网络 |
|---|
利用MMediapipe和DGL实现火影结印识别与追踪---特殊手势识别 csdn
| 图神经网络与知识图谱的碰撞 将门-TechBeat技术社区 |
| Graph Neural Network Tutorial 圖神經網路教學 (2022/01/28) 周遠同 |
| 零基础多图详解图神经网络（GNN/GCN）Mu Li |
| Graph Algorithms Joe James |
CS224W: Machine Learning with Graphs(uList, ) Stanford CS224W: Machine Learning with Graphs Stanford Online |
| Graph Analytics and Graph-based Machine Learning AICamp |
| Graph Neural Networks Yannic Kilcher |
| Learning the Structure of Graph Neural Networks | Mathias Niepert | heidelberg.ai |
| Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning Manolis Kellis |
| GraphQL：GraphQL是一种用于API开发的查询语言和运行时。它提供了一种灵活的方式，使得客户端可以根据其需要查询数据，从而提高了API的效率和可用性。 |
| GraphQL Albert's Code Lab Creat Code Build |
| GraphQL Crash Course With Full Stack MERN Project Traversy Media |
神经网络 （六）图神经网络 Graph Neural Network 技术喵 A comprehensive survey on graph neural networks 1901.00596 Graph Neural Networks: Models and Applications s ChebyNet: Convolutional neural networks on graphs with fast localized spectral neurips2016 GCN: Semi-supervised classification with graph convolutional networks 1609.02907 |
| Intro to graph neural networks (ML Tech Talks) TensorFlow |
| Graph Algorithms for Technical Interviews - Full Course freeCodeCamp |
| 度量和改进图信息在图神经网络中的使用 侯逸帆 陈海顺 |
| Craft GraphQL APIs in Elixir with Absinthe pragprog |
| GraphQL Course for Beginners freeCodeCamp |
| Social Networks u |
| Social Networks NPTEL-NOC IITM |
| NetworkX |
|---|
| NetworkX s |
| Introduction to NetworkX in Python Professor Foote git |
| Social Network Analysis - From Graph Theory to Applications - Dima Goldenberg - PyCon Israel 2019 PyCon Israel git |
| Network Analysis with Python pvierth |
| How To Create Python Network Graphs || NetworkX Overview || Graph Plotting || Matplotlib || Advanced NetMinion Solutions |
| Johannes Wachs - Analyzing Networks In Python PyCon SK |
| Networkx Tutorials HowTo |
| Rob Chew, Peter Baumgartner | Connected: A Social Network Analysis Tutorial with NetworkX PyData |
| K Jarrod Millman - Complex network analysis with NetworkX| PyData Global 2020 |
| Complex Network Analysis in Python pragprog |
| Graphs, Networks and Python: The Power of Interconnection by Lachlan Blackhall PyCon AU |
| Network of The Witcher | Relationship Extraction & Network Analysis with Spacy & NetworkX Thu Vu data analytics |
| Graph Neural Networks - a perspective from the ground up Alex Foo |
| The ultimate intro to Graph Neural Networks. Maybe. AI Coffee Break with Letitia |
| NetworkX Crash Course - Graph Theory in Python NeuralNine |
| Social Network Analysis JCharisTech |
| 图计算 |
|---|
| 图计算专场 Watching IT Conference |
"图计算"和"计算图"是不同的概念，尽管它们之间有一些关联。 "计算图"通常指的是一种表示计算过程的图形结构，其中节点表示计算操作，边缘表示数据流。它通常被用于深度学习中，以表示神经网络的计算过程。在计算图中，每个节点执行特定的数学运算，并将结果传递给后续节点。这种图形表示方式有助于优化计算和自动求导。 "图计算"是一种计算模型，它使用图形结构来表示和处理数据。它的基本思想是将数据存储为图形结构，然后使用图形算法来处理数据。图计算可以应用于许多领域，例如社交网络分析、推荐系统和生物信息学。 因此，尽管它们之间有一些相似之处，但"图计算"和"计算图"是不同的概念。"计算图"是一种表示计算过程的图形结构，而"图计算"是一种使用图形结构来表示和处理数据的计算模型。 |
| Gephi |
|---|
| Using Gephi to visualise and understand communities Melvin L |
| GEPHI - Network visualization tutorial [HD] Martin Grandjean |
| A Walkthrough Analysis of Tor Networks in Gephi jengolbeck |
| Gephi Tutorials jengolbeck |
| Combine and Analyze Co-Hashtag Networks (Instagram, Twitter, etc.) with Gephi Bernhard Rieder |
| Week 3: Gephi - An Introduction Tour Data Analytics and Learning MOOC |
| Graph Algorithms: Practical Examples in Apache Spark and Neo4j libgen |
| Neo4j u |
| Natural Language Processing with Graphs Neo4j |
| Going meta - a series on graphs, semantics and knowledge Neo4j |
其他
Security Graph 3D Visualization: WikiLeaks.org Cisco Umbrella