DGL
2.5

Get Started

  • Install and Setup
  • A Blitz Introduction to DGL

Advanced Materials

  • ๐Ÿ†• Stochastic Training of GNNs with GraphBolt
  • User Guide
  • ็”จๆˆทๆŒ‡ๅ—ใ€ๅŒ…ๅซ่ฟ‡ๆ—ถไฟกๆฏใ€‘
  • ์‚ฌ์šฉ์ž ๊ฐ€์ด๋“œ[์‹œ๋Œ€์— ๋’ค์ณ์ง„]
  • ๐Ÿ†• Tutorial: Graph Transformer
  • 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
  • ๐Ÿ†• dgl.graphbolt
  • dgl.nn (PyTorch)
  • 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)
  • View page source

dgl.nn (MXNet)๏ƒ

Conv Layers๏ƒ

GraphConv

RelGraphConv

TAGConv

GATConv

EdgeConv

SAGEConv

SGConv

APPNPConv

GINConv

GatedGraphConv

GMMConv

ChebConv

AGNNConv

NNConv

Dense Conv Layers๏ƒ

DenseGraphConv

DenseSAGEConv

DenseChebConv

Global Pooling Layers๏ƒ

SumPooling

AvgPooling

MaxPooling

SortPooling

GlobalAttentionPooling

Set2Set

Heterogeneous Learning Modules๏ƒ

HeteroGraphConv

Utility Modules๏ƒ

Sequential


ยฉ Copyright 2018, DGL Team.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: latest
Versions
Downloads
On Read the Docs
Project Home
Builds