AttF-GNN: An Attention-Based Multi-Omics Graph Neural Network with Modality Learning for Disease Subtyping

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiv