PrunE prunes spurious edges with a size constraint and an epsilon-probability alignment, reporting state-of-the-art graph OOD results despite a weak theoretical analysis.
Learning causally invariant representations for out-of-distribution generalization on graphs.Advances in Neural Information Processing Systems, 35:22131–22148, 2022
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Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
PrunE prunes spurious edges with a size constraint and an epsilon-probability alignment, reporting state-of-the-art graph OOD results despite a weak theoretical analysis.