Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks

Junyuan Fang, Han Yang, Haixian Wen +3

Graph neural networks have been widely utilized to solve graph-related tasks because of their strong learning power in utilizing the local information of neighbors. However, recent…