Graph Nerual Networks

Paper: Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery

Paper: Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery

In this work, we introduce a pipeline that integrates hierarchical urban features and cross-view imagery (remote sensing + street view) into a heterogeneous urban graph for building attribute prediction.

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