An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction
This work proposes a multi-modal framework that unifies sheaf hypergraph convolution, concept bottleneck supervision, and EST regularization for interpretable survival prediction from brain MRI, the first work to unify sheaf hypergraph convolution, concept bottleneck supervision, and EST regularization.