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A networkx implemention of algorithms to find common ordered subtree minors and isomorphisms

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Networkx algorithms for maximum common ordered subtree minors (or embedding) and maximum common subtree isomorphism. Contains pure python and cython optimized versions.

At its core the maximum_common_ordered_subtree_embedding function is an implementation of:

Lozano, Antoni, and Gabriel Valiente.
    "On the maximum common embedded subtree problem for ordered trees."
    String Algorithmics (2004): 155-170.
    https://pdfs.semanticscholar.org/0b6e/061af02353f7d9b887f9a378be70be64d165.pdf

And maximum_common_ordered_subtree_isomorphism is a variant of the above algorithm that returns common subtree ismorphism instead of subtree minors.

Standalone versions of code were originally submitted as PRs to networkx proper:

https://github.com/networkx/networkx/pull/4350 https://github.com/networkx/networkx/pull/4327

These algorithms are components of algorithms in torch_liberator, see related information:

TorchLiberator

https://gitlab.kitware.com/computer-vision/torch_liberator

Torch Hackathon 2021

Youtube Video and Google Slides

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