SLOGAN untangles causal from spurious graph features via an information bottleneck and a generative intervention that swaps spurious features across domains, improving graph domain adaptation accuracy on four benchmark datasets.
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Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
SLOGAN untangles causal from spurious graph features via an information bottleneck and a generative intervention that swaps spurious features across domains, improving graph domain adaptation accuracy on four benchmark datasets.