github dmlc/dgl 0.8.1
v0.8.1

latest releases: v2.4.0, v2.3.0, v2.2.1...
2 years ago

This is a minor release that includes the following model updates, optimizations, new features and bug fixes.

Model update

  • nn.GroupRevRes from Training Graph Neural Networks with 1000 layers [#3842]
  • transforms.LaplacianPositionalEncoding from Graph Neural Networks with Learnable Structural and Positional Representations [#3869]
  • transforms.RWPositionalEncoding from Graph Neural Networks with Learnable Structural and Positional Representations [#3869]
  • dataloading.SAINTSampler from GraphSAINT [#3879]
  • nn.EGNNConv from E(n) Equivariant Graph Neural Networks [#3901]
  • nn.PNAConv from the baselines of E(n) Equivariant Graph Neural Networks [#3901]

Example update

Feature update (new functionalities, interface changes, etc.)

  • Radius graph - construct a graph by connecting points within a given distance. [#3829 @ksadowski13]
    • It uses torch.cdist so the space complexity is O(N^2).
  • Added a get_attention parameter in GlobalAttentionPooling. [#3837 @decoherencer]

Quality of life update

  • Example to train with multi-GPU with PyTorch Lightning. [#3863]
  • Multi-GPU inference with UVA. [#3827 @nv-dlasalle]
  • Enable UVA sampling with CPU indices to save GPU memory. [#3892]
  • Set stacklevel=2 for DGL-raised warnings. [#3816]
  • Pure GPU example of GraphSAGE, with both node classification and link prediction. [#3796 @nv-dlasalle, #3856 @Kh4L]
  • Tensoradapter DLPack 0.6 compatibility / PyTorch 1.11 support. [#3803]

System optimization

  • Enable UVA for PinSAGE and RandomWalk. [#3857 @yaox12]
  • METIS partition with communication volume minimization, reduces the communication volume by 13.4% compared with edge-cut minimization on ogbn-products. [#3821 @chwan1016]
  • Change parameter of curand_init for reducing GPU latency [#3794 @paoxiaode]

Bug fixes

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