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materialsvirtuallab / matgl

Graph deep learning library for materials
BSD 3-Clause "New" or "Revised" License
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Bump dgl from 1.1.3 to 2.0.0 #211

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 8 months ago

Bumps dgl from 1.1.3 to 2.0.0.

Release notes

Sourced from dgl's releases.

2.0.0

We're thrilled to announce the release of DGL 2.0.0, a major milestone in our mission to empower developers with cutting-edge tools for Graph Neural Networks (GNNs). 🎉🎉🎉

New Package: dgl.graphbolt

In this release, we introduce a brand new package: dgl.graphbolt, which is a revolutionary data loading framework that supercharges your GNN training/inference by streamlining the data pipeline. Please refer to the documentation page for GraphBolt's overview and end2end notebooks. More end2end examples are available in github code base.

New Additions

  • A hetero-relational GCN example (#6157)
  • Add Node explanation for Heterogenous PGExplainer Impl. (#6050)
  • Add peptides structural dataset in LRGB (#6337)
  • Add peptides functional dataset in LRGB (#6363)
  • Add VOCSuperpixels dataset in LRGB (#6389)
  • Add compact operator (#6352)
  • Add COCOsuperpixel dataset (#6407)
  • Add a graphSAGE example (#6481)
  • Add CIFAR10 MNIST dataset in benchmark-gnn (#6543)
  • Add ogc method (#6437)
  • Add a LADIES example (#6560)
  • Adjusted homophily and label informativeness (#6516)

System/Examples/Documentation Enhancements

  • Update README about DGL container access from NGC (#6133)
  • Cpu docker tcmalloc (#5969)
  • Use scipy's eigs instead of numpy in lap_pe (#5855)
  • Add CMake changes from conda-forge build (#6189)
  • Upgrade googletest to v1.14.0 (#6273)
  • Fix typo in link prediction with sampling example (#6268)
  • Add sparse matrix slicing operator implementation (#6208)
  • Use torchrun instead of torch.distributed.launch (#6304)
  • Sparse sample implementation (#6303)
  • Add relabel python API (#6323)
  • Compact C++ API (#6334)
  • Fix compile warning (#6342)
  • Update Labor sampler docs, add NeurIPS acceptance (#6369)
  • Update docstring of LRGB (#6430)
  • Do not fuse neighbor sampler for 1 thread (#6421)
  • Fix graph_transformer example (#6471)
  • Adding --num_workers input parameter to the EEG_GCNN example. (#6467)
  • Update doc network_emb.py (#6559)
  • Protect temporary changes from persisting if an error occurs during the yield block (#6506)
  • Provide options for bidirectional edge (#6566)
  • Improving the MLP example. (#6593)
  • Improving the JKNET example. (#6596)
  • Avoid calling IsPinned in the coo/csr constructor from every sampling process (#6568)

Bug Fixes

  • Fix cusparseCreateCsr format for cuda12 (#6121)
  • Fix a bug in standalone mode (#6179)
  • Fix extrace_archive default parameter (#6333)

... (truncated)

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dependabot[bot] commented 7 months ago

A newer version of dgl exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

dependabot[bot] commented 4 months ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.