LIbAM - A Standardized Graph Alignment Library
Project description
LIbAM
A Standardized Graph Alignment Library
Install
uv add libam # or: pip install libam
Requires Python >= 3.12. Wheels target Linux x86-64.
Access datasets simply with zero setup
Bundled datasets fetch themselves the first time you touch them.
Algorithms
Every algorithm below can be constructed from libam.algorithms and run with the same
.align() call. Names link to the source research.
| Algorithm | Source |
|---|---|
| FUGAL - Feature-fortified Unrestricted Graph Alignment | link |
| GRAMPA - Spectral graph matching by pairwise eigen-alignments | link |
| GRAMPA-S - spectral variant of GRAMPA | link |
| CONE-Align - Consistent Network Alignment with proximity-preserving embeddings | link |
| GWL - Gromov-Wasserstein Learning | link |
| S-GWL - Scalable Gromov-Wasserstein Learning | link |
| Path - A Path Following Algorithm for graph matching | link |
| IsoRank - Global alignment of protein interaction networks | link |
| NSD - Network Similarity Decomposition | link |
| MMNC - Multi-order Matched Neighborhood Consistent alignment | link |
| DS++ - A tight relaxation for matching problems | link |
| FGOT - Graph distances based on filters and optimal transport | link |
| GOT - An Optimal Transport framework for graph comparison | link |
| GRASP - Scalable Graph Alignment by spectral corresponding functions | link |
| KLAUS - A graph-based method for pairwise global network alignment | link |
| LREA - Low Rank Spectral Network Alignment | link |
| MDS - Unsupervised Manifold Alignment with joint multidimensional scaling | link |
| Net-Align - Message-passing algorithms for sparse network alignment | link |
| PARROT - Position-Aware Regularized Optimal Transport | link |
| REGAL - Representation Learning-based Graph Alignment | link |
| Grad-Align+ - Gradual network alignment with attribute augmentation (restricted) | link |
| JOENA - Joint Optimal Transport and Embedding for Network Alignment (restricted) | link |
| HTC - Higher-order Topological Consistency for unsupervised alignment (restricted) | link |
| SlotA (restricted) | link |
| Alpine - Partial Unlabeled Graph Alignment (restricted) | link |
next_alignis present but raisesNotImplementedError(DGL compatibility), so it is not currently constructible.
Development
uv run example/quickstart.py # run the quickstart end-to-end
uv run pytest -n auto # test suite (parallel)
uv run ruff check --output-format=concise # lint
uv run ty check --output-format=concise # type-check
uv build # build wheels into dist/
uv run --group docs make -C docs html # build the docs
License
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