GRBE improves out-of-distribution graph classification and explanation quality by mixing environment subgraphs in the original graph space and refining rationale subgraphs with contrastive learning.
Joint learning of label and environment causal independence for graph out-of-distribution general- ization,
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Towards Effective Graph Rationalization via Boosting Environment Diversity
GRBE improves out-of-distribution graph classification and explanation quality by mixing environment subgraphs in the original graph space and refining rationale subgraphs with contrastive learning.