Self-Explaining Graph Neural Network for Link Prediction Based on Path-Aware Prototype Learning
Explaining black-box graph neural networks (GNNs) for link prediction (LP) remains a complicated problem. Existing explanation methods for link prediction are post-hoc and transductive, which suffer from misrepresenting the real reasoning process of the target GNN and lack of global understanding. Meanwhile, it remains...