GONet: A Molecular Interaction-Guided Graph Learning Framework for Multi-Omics Cancer Classification.
Integrating multi-omics profiles with molecular interaction networks enables biologically informed representation learning by combining molecular measurements with prior biological knowledge. Although graph neural networks (GNNs) are well suited for modeling molecular interaction networks, existing multi-omics methods...