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An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction
Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these objectives as com- peting, where performant models sacrifice transparency, while interpretable models accept degraded predictive power. We argue that thi
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