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Implementing Spatial Graph Neural Networks for Urban Function Inference

This tutorial builds an end-to-end spatial graph learning pipeline using city2graph, OSMnx, and PyTorch Geometric for urban function inference. It covers collecting POI data from OpenStreetMap and engineering spatial features to construct a graph neural network model.

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1 day ago
Implementing Spatial Graph Neural Networks for Urban Function Inference — AIBriefs