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    • NN Modules (PyTorch)
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  • dgl.nn
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dgl.nn¶

Package for pytorch-specific NN modules.

  • NN Modules (PyTorch)
    • Conv Layers
      • GraphConv
      • EdgeWeightNorm
      • RelGraphConv
      • TAGConv
      • GATConv
      • EdgeConv
      • SAGEConv
      • SGConv
      • APPNPConv
      • GINConv
      • GatedGraphConv
      • GMMConv
      • ChebConv
      • AGNNConv
      • NNConv
      • AtomicConv
      • CFConv
      • DotGatConv
    • Dense Conv Layers
      • DenseGraphConv
      • DenseSAGEConv
      • DenseChebConv
    • Global Pooling Layers
      • SumPooling
      • AvgPooling
      • MaxPooling
      • SortPooling
      • WeightAndSum
      • GlobalAttentionPooling
      • Set2Set
      • SetTransformerEncoder
      • SetTransformerDecoder
    • Heterogeneous Graph Convolution Module
      • HeteroGraphConv
    • Utility Modules
      • Sequential
      • KNNGraph
      • SegmentedKNNGraph
    • NodeEmbedding Module
      • NodeEmbedding
  • NN Modules (MXNet)
    • Conv Layers
      • GraphConv
      • RelGraphConv
      • TAGConv
      • GATConv
      • EdgeConv
      • SAGEConv
      • SGConv
      • APPNPConv
      • GINConv
      • GatedGraphConv
      • GMMConv
      • ChebConv
      • AGNNConv
      • NNConv
    • Dense Conv Layers
      • DenseGraphConv
      • DenseSAGEConv
      • DenseChebConv
    • Global Pooling Layers
      • SumPooling
      • AvgPooling
      • MaxPooling
      • SortPooling
      • GlobalAttentionPooling
      • Set2Set
    • Heterogeneous Graph Convolution Module
      • HeteroGraphConv
    • Utility Modules
      • Sequential
  • NN Modules (Tensorflow)
    • Conv Layers
      • GraphConv
      • RelGraphConv
      • GATConv
      • SAGEConv
      • ChebConv
      • SGConv
      • APPNPConv
      • GINConv
    • Global Pooling Layers
      • SumPooling
      • AvgPooling
      • MaxPooling
      • SortPooling
      • GlobalAttentionPooling
    • Heterogeneous Graph Convolution Module
      • HeteroGraphConv
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