most citedGANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections

9 citations · 9 across the 2 of their papers we have counts for

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cs.LG2025

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…

cs.LG2022★ 9 cited

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections

Junyuan Fang, Haixian Wen, Jiajing Wu +3

Graph neural networks (GNNs) have found successful applications in various graph-related tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial atta…