safe-graph / graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Date Created 2019-11-21 (4 years ago)

Commits 135 (last one about a month ago)

Stargazers 1,333 (2 this week)

Watchers 53 (0 this week)

Forks 242

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these safe-graph/graph-fraud-detection-papers is ranked #37,038 (93rd percentile) for total stargazers, and #38,236 for total watchers.

safe-graph/graph-fraud-detection-papers is also tagged with popular topics, for these it's ranked: deep-learning (#993/7827), machine-learning (#1,027/7371), security (#620/3748), data-science (#319/1973), dataset (#59/1057), graph-neural-networks (#23/523), anomaly-detection (#21/288), data-mining (#35/273), papers (#29/184), graph-algorithms (#21/178), graph-convolutional-networks (#8/105)

Other Information

safe-graph/graph-fraud-detection-papers has 1 open pull request on Github, 19 pull requests have been merged over the lifetime of the repository.

All Topics

papers survey dataset security awsome-list data-mining data-science deep-learning spam-detection fraud-detection graph-algorithms machine-learning anomaly-detection outlier-detection academic-publications graph-neural-networks graph-convolutional-networks

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61 commits on the default branch (master) since jan '22

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updated: 2024-06-28 @ 09:42pm, id: 223096759 / R_kgDODUwvtw