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June 6, 2024Open Access

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

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Authors

ZWZhonghao WangHebei Agricultural UniversityDSDanyu SunUniversity of California, IrvineSZSheng ZhouHebei Medical University

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Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e65e3eb6db6435875ecf4ahttps://doi.org/10.48550/arxiv.2406.04299
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  4. 4A Simple and Yet Fairly Effective Defense for Graph Neural Networks2024
  5. 5A Simple and Yet Fairly Effective Defense for Graph Neural Networks2024 · 22 citations