Liang Cheng

Evolutionary graph structure learning for adversarial defense in GNNs

This research introduces a new graph adversarial attack protection approach termed evolutionary algorithm integration of neighbor importance estimate to tackle this issue and attains notably superior performance in comparison to alternative defense methodologies.