DGL
0.9.x

Get Started

  • Install and Setup
  • A Blitz Introduction to DGL

Advanced Materials

  • User Guide
  • 用户指南
  • 사용자 가이드
  • Stochastic Training of GNNs
    • Introduction of Neighbor Sampling for GNN Training
    • Training GNN with Neighbor Sampling for Node Classification
    • Stochastic Training of GNN for Link Prediction
    • Writing GNN Modules for Stochastic GNN Training
  • 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.nn (PyTorch)
  • dgl.nn (TensorFlow)
  • dgl.nn (MXNet)
  • dgl.nn.functional
  • dgl.ops
  • dgl.optim
  • dgl.sampling
  • dgl.multiprocessing
  • dgl.contrib.UnifiedTensor
  • 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
  • Stochastic Training of GNNs
  • Edit on GitHub

Stochastic Training of GNNs¶

../../_images/sphx_glr_L0_neighbor_sampling_overview_thumb.png

Introduction of Neighbor Sampling for GNN Training¶

../../_images/sphx_glr_L1_large_node_classification_thumb.png

Training GNN with Neighbor Sampling for Node Classification¶

../../_images/sphx_glr_L2_large_link_prediction_thumb.png

Stochastic Training of GNN for Link Prediction¶

../../_images/sphx_glr_L4_message_passing_thumb.png

Writing GNN Modules for Stochastic GNN Training¶

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