busyness-graph

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USC-InfoLab / busyness-graph-neural-network
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.
correlations dynamic-gnns gnn gnns graph-neural-network graph-neural-networks machine-learning ml poi point-of-interest python sigspatial busyness busyness-graph busyness-graph-neural-network bysgnn
Language:Jupyter Notebook 2

USC-InfoLab / busyness-graph-neural-network