"Moderate Message Passing Improves Calibration: A Universal Way to Mitigate ..."

Min Wang et al. (2024)

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DOI: 10.1609/AAAI.V38I19.30167

access: open

type: Conference or Workshop Paper

metadata version: 2024-11-15

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Min Wang, Hao Yang, Jincai Huang, Qing Cheng:
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. AAAI 2024: 21681-21689

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