Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction

Yinhan He, Zaiyi Zheng, Patrick Soga +3

In recent years, Graph Neural Networks (GNNs) have become successful in molecular property prediction tasks such as toxicity analysis. However, due to the black-box nature of GNNs,…