2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
CVPR 2022oral
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. Specifically, we construct a distinct generative model and design an objective function that encourages the generative mode…