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DGL release and change logs

Refer to the roadmap issue for the on-going versions and features.

0.2

Major release that includes many features, bugfix and performance improvement. Speed of GCN model on Pubmed dataset has been improved by 4.19x! Speed of RGCN model on Mutag dataset has been improved by 7.35x! Important new feature: graph sampling APIs.

Update details:

Model examples

  • TreeLSTM w/ MXNet (PR #279 by @szha )
  • GraphSage (@ZiyueHuang )
  • Improve GAT model speed (PR #348 by @jermainewang )

Core system improvement

  • Immutable CSR graph structure (PR #342 by @zheng-da )
    • Finish remaining functionality (Issue #369, PR #404 by @yzh119)
  • Nodeflow data structure (PR #361 by @zheng-da )
  • Neighbor sampler (PR #322 )
  • Layer-wise sampler (PR #362 by @GaiYu0 )
  • Multi-GPU support by data parallelism (PR #356 #338 by @ylfdq1118 )
  • More dataset:
    • Reddit dataset loader (PR #372 by @ZiyueHuang )
    • PPI dataset loader (PR #395 by @sufeidechabei )
    • Mini graph classification dataset (PR #364 by @mufeili )
  • NN modules (PR #406 by @jermainewang @mufeili)
    • GraphConv layer
    • Edge softmax layer
  • Edge group apply API (PR #358 by @VoVAllen )
  • Reversed graph and transform.py module (PR #331 by @mufeili )
  • Max readout (PR #341 by @mufeili )
  • Random walk APIs (PR #392 by @BarclayII )

Tutorial/Blog

  • Batched graph classification in DGL (PR #360 by @mufeili )
  • Understanding GAT (@sufeidechabei )

Project improvement

  • Python lint check (PR #330 by @jermainewang )
  • Win CI (PR #324 by @BarclayII )
  • Auto doc build (by @VoVAllen )
  • Unify tests for different backends (PR #333 by @BarclayII )

0.1.3

Bug fix

  • Compatible with Pytorch v1.0
  • Bug fix in networkx graph conversion.

0.1.2

First open release.

  • Basic graph APIs.
  • Basic message passing APIs.
  • Pytorch backend.
  • MXNet backend.
  • Optimization using SPMV.
  • Model examples w/ Pytorch:
    • GCN
    • GAT
    • JTNN
    • DGMG
    • Capsule
    • LGNN
    • RGCN
    • Transformer
    • TreeLSTM
  • Model examples w/ MXNet:
    • GCN
    • GAT
    • RGCN
    • SSE