Bump torch-geometric from 2.6.1 to 2.8.0

[dependabot]

Bumps torch-geometric from 2.6.1 to 2.8.0.

Release notes

Sourced from torch-geometric's releases.

PyG 2.8.0

We are excited to announce the release of PyG 2.8 🎉🎉🎉

• Highlights
• Breaking Changes
• Features
• Bugfixes
• Changes
• New Contributors
• Full Changelog

PyG 2.8 includes 82 commits since torch-geometric==2.7.0, with feature and bug-fix work from 16 contributors.

Highlights

Support for PyTorch 2.9-2.12

PyG 2.8 supports PyTorch 2.9, 2.10, 2.11, and 2.12, along with Python 3.10-3.14. Prebuilt wheels are available for CUDA 12.6, 12.8, 13.0, and 13.2, depending on the PyTorch version (see the table below).

PyTorch	Supported wheels
2.12.*	cpu, cu126, cu130, cu132
2.11.*	cpu, cu126, cu128, cu130
2.10.*	cpu, cu126, cu128, cu130
2.9.*	cpu, cu126, cu128, cu130

For a typical installation, PyG remains installable directly from PyPI:

pip install torch-geometric
Optional accelerated dependencies, matching your PyTorch install:
pip install pyg-lib torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html

For example, use TORCH=2.12.0 and CUDA=cu132 for PyTorch 2.12.* with CUDA 13.2.

Consolidated Acceleration on pyg-lib

PyG 2.8 trims its optional accelerated dependencies: torch-cluster and torch-spline-conv are now deprecated and ignored, with their functionality provided by pyg-lib==0.7.0. The installation and cuGraph documentation now point users toward the NVIDIA PyG container, the rapidsai/cugraph-gnn examples, and RAPIDS guidance for scalable GPU workflows (#10489, #10603, #10639, #10640).

Synthetic QA Generation for Graph RAG

The new examples/llm/txt2qa.py workflow introduces a synthetic multi-hop question-answer generation pipeline for text documents (#10559). It supports local vLLM and NVIDIA NIM API backends and is designed for creating training and evaluation data for retrieval-augmented generation systems.

Breaking Changes

• Dropped support for PyTorch 2.8. Use PyG 2.8 with PyTorch 2.9 through 2.12, or pin torch-geometric==2.7.* if you need to stay on PyTorch 2.8. Older PyTorch 2.8 wheel links remain available for existing installs (#10708).
• Removed dependencies on torch-cluster and torch-spline-conv in favor of pyg-lib==0.7.0. These packages are now deprecated and ignored if installed; the operators they previously provided now require pyg-lib==0.7.0 (#10682, #10622).

... (truncated)

Changelog

Sourced from torch-geometric's changelog.

[2.8.0] - 2026-06-05

Added

• Added from_relbench to convert RelBench databases into HeteroData (#10628)
• Added a ci: full PR label that triggers the full test suite (pytest-full) on demand instead of the regular one (#10709)
• Added PyTorch 2.11 and 2.12 support (#10708)
• Added txt2qa.py example for synthetic multi-hop QA generation from text documents, supporting vLLM (local) and NVIDIA NIM (API) backends (#10559)
• Added GraphLand benchmark via GraphLandDataset (#10458)

Changed

• Improved runtime of to_dense_batch in both eager and torch.compile (#10660)
• Dropped support for TorchScript in GATConv and GATv2Conv for correctness (#10596)

Deprecated

• Deprecated support for torch-cluster in favor of pyg-lib>=0.6.0 (#10682)
• Deprecated support for torch-spline-conv in favor of pyg-lib>=0.6.0 (#10622)

Removed

• Dropped support for PyTorch 2.8 (#10708)

Fixed

• Fixed dtype mismatch in GRetriever.inference (#10681)
• Fix MovieLens dataset incompatibility with sentence-transformers>=5.0.0 (#10668)
• Removed an unnecessary device synchronization in torch_geometric.utils.softmax (#10499)
• Fixed loading of legacy HuggingFace BERT checkpoints (#10631)
• Fixed return_attention_weights: bool being not respected in GATConv and GATv2Conv (#10596)
• Fixed download links for politifact and gossipcop datasets of UPFD (#10558)

Security

[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)

... (truncated)

Commits

• 726310a Prepare for PyG 2.8 release (#10715)
• 3e29e61 Update README.md (#10714)
• b8495d3 [pre-commit.ci] pre-commit suggestions (#10688)
• 860c88f ci: Switch pre-commit autoupdate schedule to quarterly (#10713)
• 2189457 Add GRetriever RelBench example demo and from_relbench integration (#10681)
• caf368b Add from_relbench utility to convert RelBench databases to HeteroData (#10628)
• d0110a4 ci: Don't run tests that require dataset downloads in full test (#10710)
• 4d9bbab ci: Enable full test on PRs if labelled (#10709)
• e73fac2 Add PyTorch 2.11/2.12 support and drop PyTorch 2.8 (#10708)
• fae6596 Fix warning message in __init__.py (#10695)
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