X-GCN: An Explainable and Uncertainty-Aware Graph Convolutional Framework for Multi-Omics Disease Risk Prediction
To provide accurate and helpful insights, healthcare early illness risk prediction requires the integration of diverse multi-omics data. Unlike existing models (MOGONet, ExplainMix, CNNs), X-GCN presents an integrated explainable graph-based framework that combines graph convolution with hierarchical attention in a uni...