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rying_test
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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
TWIRLSConv
TWIRLSUnfoldingAndAttention
GCN2Conv
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
WeightBasis
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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