Article

Learning Invariant Graph Representations for Cox Survival Modeling under Distribution Shifts

2025-12-02

Abstract excerpt

Survival prediction from high-dimensional biomedical data is frequently compromised by distribution shifts across multi-center cohorts, where models trained on specific populations often rely on spurious correlations that fail to generalize to new environments. While recent independence-driven reweighting techniques attempt to mitigate this, they typically treat patients as isolated instances, neglecting the intri...

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Literature Corpus work: 568759f5-d7b4-5736-8184-da10db13d496
DOI: 10.64898/2025.11.30.691365

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