mims-harvard / GraphXAI

GraphXAI: Resource to support the development and evaluation of GNN explainers

Date Created 2021-06-16 (3 years ago)

Commits 736 (last one about a year ago)

Stargazers 177 (0 this week)

Watchers 6 (0 this week)

Forks 29

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Ranking

RepositoryStats indexes 595,856 repositories, of these mims-harvard/GraphXAI is ranked #197,504 (67th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #35,482/119,431.

mims-harvard/GraphXAI is also tagged with popular topics, for these it's ranked: deep-learning (#3,798/8512), graph-neural-networks (#187/592), embeddings (#159/344), explainable-ai (#53/171), interpretability (#61/169)

Other Information

mims-harvard/GraphXAI has 1 open pull request on Github, 51 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 19 closed issues.

Homepage URL: https://zitniklab.hms.harvard.edu/projects/GraphXAI

All Topics

embeddings benchmarking deep-learning explainability explainable-ai explainable-ml interpretability graph-neural-networks graph-machine-learning

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413 commits on the default branch (main) since jan '22

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updated: 2024-12-16 @ 02:16pm, id: 377631316 / R_kgDOFoIyVA