OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks

Wanyu Lin, Hao Lan, Hao Wang +1

This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Spe…