InfoLab, University of Southern California
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w4h-integrated-toolkit
w4h-integrated-toolkit PublicThe W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
Repositories
- w4h-datasets Public
- WaveGNN Public
Official implementation of WaveGNN (IEEE BigData 2025), integrating a decay-aware Transformer and dynamic Graph Neural Network framework for modeling irregular multivariate time series without imputation. Achieves consistent, robust, and interpretable performance on clinical datasets.
- infolab.usc.edu Public template Forked from alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
- orddc2024 Public
- w4h-icde-demo Public
- busyness-graph-neural-network Public
Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.
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