safe-graph / graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

Date Created 2019-04-26 (5 years ago)

Commits 176 (last one about a year ago)

Stargazers 835 (0 this week)

Watchers 37 (0 this week)

Forks 131

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RepositoryStats indexes 595,890 repositories, of these safe-graph/graph-adversarial-learning-literature is ranked #60,883 (90th percentile) for total stargazers, and #58,426 for total watchers.

safe-graph/graph-adversarial-learning-literature is also tagged with popular topics, for these it's ranked: deep-learning (#1,466/8511), machine-learning (#1,513/8062), security (#926/4069), awesome-list (#836/2873), data-mining (#56/292), graph-algorithms (#29/182)

All Topics

survey security graph-data data-mining awesome-list graph-attack deep-learning graph-algorithms machine-learning literature-review adversarial-attacks adversarial-machine-learning

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

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updated: 2024-12-18 @ 09:19pm, id: 183684990 / R_kgDOCvLPfg