DGL
2.0.0
Get Started
Install and Setup
A Blitz Introduction to DGL
Advanced Materials
🆕 Stochastic Training of GNNs with GraphBolt
User Guide
用户指南【包含过时信息】
사용자 가이드[시대에 뒤쳐진]
Tutorials: dgl.sparse
Training on CPUs
Training on Multiple GPUs
Distributed training
Paper Study with DGL
API Reference
dgl
dgl.data
dgl.dataloading
dgl.DGLGraph
dgl.distributed
dgl.function
dgl.geometry
🆕 dgl.graphbolt
dgl.nn (PyTorch)
dgl.nn (TensorFlow)
dgl.nn (MXNet)
Conv Layers
Dense Conv Layers
DenseGraphConv
DenseSAGEConv
DenseSAGEConv
DenseChebConv
Global Pooling Layers
Heterogeneous Learning Modules
Utility Modules
dgl.nn.functional
dgl.ops
dgl.optim
dgl.sampling
dgl.sparse
dgl.multiprocessing
dgl.transforms
User-defined Functions
Notes
Contribute to DGL
DGL Foreign Function Interface (FFI)
Performance Benchmarks
Misc
Frequently Asked Questions (FAQ)
Environment Variables
Resources
DGL
dgl.nn (MXNet)
DenseSAGEConv
View page source
DenseSAGEConv
class
dgl.nn.mxnet.conv.
DenseSAGEConv
(
*
args
:
Any
,
**
kwargs
:
Any
)
Bases:
Read the Docs
v: latest
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