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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric

A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric

The post describes an end-to-end spatial graph learning pipeline built with city2graph, OSMnx, and PyTorch Geometric. It uses OpenStreetMap POI and street network data, creates multiple graph types, and trains a GraphSAGE model to predict POI categories from urban spatial structure.

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