DGL
0.6.x
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Install and Setup
A Blitz Introduction to DGL
Advanced Materials
User Guide
用户指南
Stochastic Training of GNNs
Paper Study with DGL
API Reference
dgl
dgl.data
dgl.dataloading
dgl.DGLGraph
dgl.distributed
dgl.function
dgl.nn
NN Modules (PyTorch)
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)
dgl.nn.functional
dgl.ops
dgl.optim
dgl.sampling
User-defined Functions
Developer Notes
Contribute to DGL
DGL Foreign Function Interface (FFI)
Misc
Frequently Asked Questions (FAQ)
Environment Variables
Resources
DGL
»
dgl.nn
»
NN Modules (MXNet)
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NN Modules (MXNet)
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Conv Layers
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GraphConv
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RelGraphConv
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TAGConv
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GATConv
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EdgeConv
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SAGEConv
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SGConv
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APPNPConv
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GINConv
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GatedGraphConv
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GMMConv
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ChebConv
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AGNNConv
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NNConv
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Dense Conv Layers
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DenseGraphConv
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DenseSAGEConv
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DenseChebConv
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Global Pooling Layers
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SumPooling
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AvgPooling
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MaxPooling
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SortPooling
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GlobalAttentionPooling
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Set2Set
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Heterogeneous Graph Convolution Module
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HeteroGraphConv
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Utility Modules
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Sequential
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