[Roadmap] New PyTorch Geometric Releases

[Roadmap]

1.6.1

• WikiCSDataset
• DeepGCN
  • GENConv
  • DeepGCNLayer
  • ogn-proteins example
• Fix torch-sparse reductions with dim=0
• Fix torch-sparse suppression of warnings
• PairNorm (https://github.com/rusty1s/pytorch_geometric/pull/1448)
• LayerNorm (https://github.com/rusty1s/pytorch_geometric/pull/1471)
• Fix jittable bug when installing PyG via pip
• PyTorch 1.6.0 support
• Test GNNExplainer with more models

1.6.2

• Fix wrong URLs in datasets
• WebKB datasets from the Geom-GCN paper
• GCN2Conv from the Simple and Deep Graph Convolutional Networks paper
• TransformerConv from Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
• Unsupervised GraphSAGE example (https://github.com/rusty1s/pytorch_geometric/pull/1514) [Example]
• DistributedDataParallel support:
  • Large-scale node classification (https://github.com/rusty1s/pytorch_geometric/pull/1453)
  • Batching of graphs (https://github.com/rusty1s/pytorch_geometric/issues/1417#issuecomment-664119294) [Example]
• Node2Vec implementation with p != 1 and q != 1
• Faster CPU implementations in torch-scatter and torch-sparse via multi-threading:
  • spmm
• Add edge weights to the documentation of GNN formulations, see https://github.com/rusty1s/pytorch_geometric/issues/1449
• Clean up documentation via autosummary (https://github.com/rusty1s/pytorch_geometric/pull/1791)
• follow_batch argument in DataParallel

1.6.3.

• WikipediaNetwork and Actor datasets from the Geom-GCN paper
• torch_geometric.utils.homophily_ratio

1.7.0+

• Deep Graph Infomax Inductive Reddit Example (https://github.com/rusty1s/pytorch_geometric/pull/1859) (thanks to @harrygcoppock)
• TGN (Temporal Graph Network) (https://github.com/rusty1s/pytorch_geometric/pull/1519) (thanks to @emalgorithm)
• Weisfeiler-Lehman kernel (thanks to @chrsmrrs)
• Label Propagation
• Correct&Smooth
• PyTorch Lightning Example (GIN + GraphSAGE)
• FiLMConv
• Conda installation
• cupgraph conversions
• Fix HyperGraphConv https://github.com/rusty1s/pytorch_geometric/issues/1801
• scatter_mul implementation
• NARS
• spspmm backward implementation
• Multi-dimensional indexing of SparseTensor, e.g., adj[torch.tensor([0, 1, 2]), torch.tensor([0, 1, 2])]
• Allow edge types for any message passing GNN (https://github.com/rusty1s/pytorch_geometric/issues/1670)
• Make all CPP sampling ops respect torch.manual_seed
• random_walk with custom transition probabilities
• torch.half support
• Digraph Inception Convolutional Networks (https://github.com/rusty1s/pytorch_geometric/issues/1847)
• Faster CPU implementations in torch-scatter and torch-sparse via multi-threading:
  • fps
  • spspmm
  • scatter
  • segment
• NeighborSampler with GCNConv example
• [ ]TrimNet (TrimNet: learning molecular representation from triplet messages for biomedicine)
• Let TransformerConv be able to return attention weights (https://github.com/rusty1s/pytorch_geometric/pull/2807)

[rusty1s]

I have plans to release a new version today 😃

[rusty1s]

Just released PyTorch Geometric 1.6.2!

Thanks to many wonderful contributors 😃 Please let me know if you encounter any issues.