NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption
Noise Corruption is introduced, a Noise Corruption-based explanation framework, which perturbs each message through matched-norm random-direction corruption while preserving the expected squared message norm, and NICE, a Noise Corruption-based explanation framework, which learns a Stochastic Restoration Boundary under...
Ziluowen Luo, Jun Yin, Ruo-Chen Liu et al.
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