← Search

Pengfei Ding

2 accepted papers

2025

Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks

IJCAI 2025

To enhance the reliability and credibility of graph neural networks (GNNs) and improve the transparency of their decision logic, a new field of explainability of GNNs (XGNN) has emerged. However, two major limitations severely degrade the performance and hinder the generalizability of existing XGNN