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[air](deps): Bump torch-geometric from 2.5.3 to 2.7.0 in /python/requirements/ml#770

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[air](deps): Bump torch-geometric from 2.5.3 to 2.7.0 in /python/requirements/ml#770
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/python/requirements/ml/torch-geometric-2.7.0

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@dependabot dependabot bot commented on behalf of github Mar 21, 2026

Bumps torch-geometric from 2.5.3 to 2.7.0.

Release notes

Sourced from torch-geometric's releases.

PyG 2.7.0

We are excited to announce the release of PyG 2.7 🎉🎉🎉

PyG 2.7 is the culmination of work from 53 contributors who have worked on features and bug-fixes for a total of over 282 commits since torch-geometric==2.6.0.

Highlights

PyTorch 2.8 Support

PyG 2.7 is fully compatible with PyTorch 2.8 and supports the following combinations:

PyTorch 2.8 cpu cu126 cu128 cu129
Linux
Windows
macOS

In addition, PyG 2.7 supports two previous PyTorch minor releases, PyTorch 2.7 and 2.6:

PyTorch 2.7 cpu cu118 cu126 cu128
Linux
Windows
macOS
PyTorch 2.6 cpu cu118 cu124 cu126
Linux
Windows
macOS

Breaking Changes

Deprecation

  • Deprecated torch_geometric.distributed (#10411)

Bugfixes

... (truncated)

Changelog

Sourced from torch-geometric's changelog.

[2.7.0] - 2025-10-14

Added

  • Added llm generated explanations to TAGDataset (#9918)
  • Added torch_geometric.llm and its examples (#10436)
  • Added support for negative weights in sparse_cross_entropy (#10432)
  • Added connected_components() method to Data and HeterData (#10388)
  • Added LPFormer Graph Transformer for Link Prediction (#9956)
  • Added BidirectionalSampler, which samples both forwards and backwards on graph edges (#10126)
  • Enable Sampling both forwards and reverse edges on NeighborSampler (#10126)
  • Added ability to merge together SamplerOutput objects (#10126)
  • Added ability to get global row and col ids from SamplerOutput (#10200)
  • Added PyTorch 2.8 support (#10403)
  • Added Polynormer model and example (#9908)
  • Added ProteinMPNN model and example (#10289)
  • Added the Teeth3DS dataset, an extended benchmark for intraoral 3D scan analysis (#9833)
  • Added torch.device to PatchTransformerAggregation #10342
  • Added torch.device to normalization layers #10341
  • Added total_influence for quantifying long-range dependency (#10263)
  • Added MedShapeNet Dataset (#9823)
  • Added RelBench example (#10230)
  • Added CityNetwork dataset (#10115)
  • Added visualize_graph to HeteroExplanation (#10207)
  • Added PyTorch 2.6 support (#10170)
  • Added support for heterogenous graphs in AttentionExplainer (#10169)
  • Added support for heterogenous graphs in PGExplainer (#10168)
  • Added support for heterogenous graphs in GNNExplainer (#10158)
  • Added Graph Positional and Structural Encoder (GPSE) and example (#9018) (#10118)
  • Added attract-repel link prediction example (#10107)
  • Added ARLinkPredictor for implementing Attract-Repel embeddings for link prediction (#10105)
  • Improving documentation for cuGraph (#10083)
  • Added HashTensor (#10072)
  • Added SGFormer model and example (#9904)
  • Added AveragePopularity metric for link prediction (#10022)
  • Added Personalization metric for link prediction (#10015)
  • Added HitRatio metric for link prediction (#10013)
  • Added Data Splitting Tutorial (#8366)
  • Added Diversity metric for link prediction (#10009)
  • Added Coverage metric for link prediction (#10006)
  • Added Graph Transformer Tutorial (#8144)
  • Consolidate Cugraph examples into ogbn_train_cugraph.py and ogbn_train_cugraph_multigpu.py for ogbn-arxiv, ogbn-products and ogbn-papers100M (#9953)
  • Added InstructMol dataset (#9975)
  • Added support for weighted LinkPredRecall metric (#9947)
  • Added support for weighted LinkPredNDCG metric (#9945)
  • Added LinkPredMetricCollection (#9941)
  • Added various GRetriever architecture benchmarking examples (#9666)
  • Added profiler.nvtxit with some examples (#9666)
  • Added loader.RagQueryLoader with Remote Backend Example (#9666)
  • Added data.LargeGraphIndexer (#9666)

... (truncated)

Commits

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Bumps [torch-geometric](https://github.com/pyg-team/pytorch_geometric) from 2.5.3 to 2.7.0.
- [Release notes](https://github.com/pyg-team/pytorch_geometric/releases)
- [Changelog](https://github.com/pyg-team/pytorch_geometric/blob/master/CHANGELOG.md)
- [Commits](pyg-team/pytorch_geometric@2.5.3...2.7.0)

---
updated-dependencies:
- dependency-name: torch-geometric
  dependency-version: 2.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Mar 21, 2026
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github-actions bot commented Apr 4, 2026

This pull request has been automatically marked as stale because it has not had
any activity for 14 days. It will be closed in another 14 days if no further activity occurs.
Thank you for your contributions.

You can always ask for help on our discussion forum or Ray's public slack channel.

If you'd like to keep this open, just leave any comment, and the stale label will be removed.

@github-actions github-actions bot added the stale label Apr 4, 2026
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This pull request has been automatically closed because there has been no more activity in the 14 days
since being marked stale.

Please feel free to reopen or open a new pull request if you'd still like this to be addressed.

Again, you can always ask for help on our discussion forum or Ray's public slack channel.

Thanks again for your contribution!

@github-actions github-actions bot closed this Apr 18, 2026
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dependabot bot commented on behalf of github Apr 18, 2026

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.

@dependabot dependabot bot deleted the dependabot/pip/python/requirements/ml/torch-geometric-2.7.0 branch April 18, 2026 13:36
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