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 144 (last one about a month ago)

Stargazers 1,436 (-1 this week)

Watchers 55 (0 this week)

Forks 254

License unknown

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RepositoryStats indexes 579,238 repositories, of these safe-graph/graph-fraud-detection-papers is ranked #35,984 (94th percentile) for total stargazers, and #37,007 for total watchers.

safe-graph/graph-fraud-detection-papers is also tagged with popular topics, for these it's ranked: deep-learning (#976/8339), machine-learning (#1,010/7866), security (#604/3982), data-science (#313/2095), dataset (#58/1130), graph-neural-networks (#21/568), anomaly-detection (#22/323), data-mining (#33/285), papers (#30/192), graph-algorithms (#21/182), graph-convolutional-networks (#7/110)

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

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updated: 2024-11-06 @ 08:52pm, id: 223096759 / R_kgDODUwvtw