AI RESEARCH
PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
arXiv CS.LG
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ArXi:2604.24371v1 Announce Type: new Cancer survival prediction from multi-omics data remains challenging because prognostic signals are high-dimensional, heterogeneous, and distributed across interacting genes and pathways. We propose PathMoG, a pathway-centric modular graph neural network for multi-omics survival prediction. PathMoG reorganizes genome-scale inputs into 354 KEGG-informed pathway modules,