2025
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
IJCAI 2025
Dynamic graph neural networks (dynamic GNNs) have demonstrated remarkable effectiveness in analyzing time-varying graph-structured data. However, their black-box nature often hinders users from understanding their predictions, which can limit their applications. In recent years, there has been a sur