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
Metadata
Release files for libam 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| libam-1.0.0.tar.gz | 167.0 kB | Without provenance | Details for libam-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| libam-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for libam-1.0.0-py3-none-any.whl |
Total release size: 383.6 kB
Release files / libam-1.0.0.tar.gz
| Download URL | libam-1.0.0.tar.gz |
|---|---|
| Size | 167.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b9bf58d73bd8d5f4c9f0a2dbba639d5062bf85264abab2439caadbf2192816a6
|
|
BLAKE2b-256 checksum How to use checksums |
c02f2ed14053ba7c2111ad2531e0fbb19bd09b8ecc0a8c5754d8fdfb24303807
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.10.7 {"installer":{"name":"uv","version":"0.10.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Zorin OS","version":"18","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / libam-1.0.0-py3-none-any.whl
| Download URL | libam-1.0.0-py3-none-any.whl |
|---|---|
| Size | 216.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f2b82a8f79dc76fa8bb6f0da8a8cc88447fd793b861b7e52f5c53d37aeb736be
|
|
BLAKE2b-256 checksum How to use checksums |
3a80f20cdfb91c093918edb277b4d6c84776369ec3f72796090fec63b21f916f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.10.7 {"installer":{"name":"uv","version":"0.10.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Zorin OS","version":"18","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for libam 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.