A networkx implemention of algorithms to find common subtree minors and isomorphisms
Project description
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 |
|
Torch Hackathon 2021 |
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