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graph-convolutional-networks

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haversine_mapping_for_spatial_integration_in_graph_convolutional_networks

A novel architecture and training strategy for graph neural networks (GNN). The proposed architecture, named as Autoencoder-Aided GNN (AA-GNN), compresses the convolutional features at multiple hidden layers, hinging on a novel end-to-end training procedure that learns different graph representations per each layer. As a result, the computationa…

  • Updated May 14, 2024
  • Python

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