17 citations · 17 across the 4 of their papers we have counts for
4 papers
Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
Yuhang Ma, Jie Wang, Zheng Yan
Large Language Models (LLMs) have advanced Graph Neural Networks (GNNs) by enriching node representations with semantic features, giving rise to LLM-enhanced GNNs that achieve nota…
GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
Xuyan Li, Jie Wang, Zheng Yan
Dynamic graphs are widely used to represent evolving real-world networks. Temporal Graph Neural Networks (TGNNs) have emerged as a powerful tool for processing such graphs, but the…
CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
Jie Wang, Zheng Yan, Jiahe Lan +2
Trust prediction provides valuable support for decision-making, risk mitigation, and system security enhancement. Recently, Graph Neural Networks (GNNs) have emerged as a promising…
FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
Jiahe Lan, Jie Wang, Baochen Yan +2
Speech recognition systems driven by DNNs have revolutionized human-computer interaction through voice interfaces, which significantly facilitate our daily lives. However, the grow…