A paper using optimal transport to solve the graph matching problem.

Related tags

Deep Learning python statistics graph-algorithms graphs networks graph-alignment
Overview

GOAT

A paper using optimal transport to solve the graph matching problem.

https://arxiv.org/abs/2111.05366

Repo structure

  • .github: Files specifying how the repo behaves on GitHub
  • data: Directory to store the raw data.
  • docs: Files to build the documentation website in the form of a Jupyter Book
  • pkg: A local Python package used for analysis in the Jupyter Notebooks

Building the book

Coming soon

Running the code

Coming soon

Credits

This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.

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Comments
  • Fix outlier handling in qap when len(seeds)==n

    Fix outlier handling in qap when len(seeds)==n

    Hi All -- I think this issue popped up in this codebase: https://github.com/microsoft/graspologic/pull/754 . I'm having some down-stream issues when n_seeds = n. Should I submit a pull request?

    opened by kellymarchisio 0
Owner
neurodata
neurodata
GitHub http://docs.neurodata.io/goat/
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