Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
Abstract Graph Neural Networks (GNNs) are increasingly popular in processing graph-
structured data, yet they face significant challenges when training and testing distributions …
structured data, yet they face significant challenges when training and testing distributions …