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busyness-graph-neural-network

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USC-InfoLab / busyness-graph-neural-network

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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.

python machine-learning ml poi point-of-interest correlations gnns graph-neural-networks gnn graph-neural-network sigspatial dynamic-gnns bysgnn busyness busyness-graph busyness-graph-neural-network
  • Updated Dec 20, 2024
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