qitianwu / GraphOOD-GNNSafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Date Created 2023-01-24 (2 years ago)

Commits 15 (last one about a year ago)

Stargazers 80 (0 this week)

Watchers 3 (0 this week)

Forks 5

License unknown

Ranking

RepositoryStats indexes 633,559 repositories, of these qitianwu/GraphOOD-GNNSafe is ranked #357,543 (44th percentile) for total stargazers, and #418,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #68,589/129,482.

qitianwu/GraphOOD-GNNSafe is also tagged with popular topics, for these it's ranked: deep-learning (#5,814/8818), pytorch (#4,076/6221), artificial-intelligence (#1,475/2280), graph-neural-networks (#332/614)

All Topics

pytorch large-graph deep-learning trustworthy-ai anamoly-detection label-propagation outlier-detection pytorch-geometric distribution-shift node-classification graph-neural-networks artificial-intelligence geometric-deep-learning out-of-distribution-detection out-of-distribution-generalization

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Recent Commit History

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

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The primary language is Python but there's also others...

updated: 2025-03-07 @ 01:32am, id: 592571300 / R_kgDOI1HrpA