Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He +2 more

2/12/2026

No official code found. Best implementation: likuanppd/GOOD-AT (14 stars, MIT, last commit 2024-05-30).

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likuanppd/GOOD-ATCommunity61%

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The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

140C++, CudaFeb 25, 20242 years agoMIT

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@article{li2026boosting,
  title  = {Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective},
  author = {Kuan Li and Yiwen Chen and Yang Liu and Jin Wang and Qing He and Minhao Cheng and Xiang Ao},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:7101133613bef2ece01c92d825966f9c8fa31ffb},
  journal = {ICLR 2024 2024}
}

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Code Implementations(1)

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