HGMA-Net: A Hierarchical Graph-Mamba Encoder for Multi-Modal Brain Disorder Classification on Population Graphs.
Brain disorder (BD) classification based on population graph learning has shown promising performance by jointly modeling resting-state functional MRI (rs-fMRI) data and phenotypic information. Existing graph Transformer-based population graph encoders suffer from high computational cost on densely connected subject gr...