Wenda Fu

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Deep learning methods on graph data have achieved remarkable efficacy across a variety of real-world applications, such as social network analysis and transaction risk detection. Nevertheless, recent studies have illuminated a concerning fact: even the most expressive Graph Neural Networks (GNNs) ar…