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cs.LG2025
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…
cs.LG2025
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…