InfoLab, University of Southern California
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      busyness-graph-neural-networkbusyness-graph-neural-network PublicBusyness 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… Jupyter Notebook 3 
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-           busyness-graph-neural-network PublicBusyness 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. USC-InfoLab/busyness-graph-neural-network’s past year of commit activity 
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