highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics
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May 4, 2023 - Jupyter Notebook
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sigspatial
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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
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Dec 20, 2024 - Jupyter Notebook
Developed an optimized solution to the point-polygon query program mentioned by the ACM SIGSPATIAL CUP 2013. Showed differences between naive solution and my solution. Achieved 100% accuracy for both 'INSIDE' and 'WITHIN n' queries.
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Jan 3, 2025 - Jupyter Notebook
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