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 magnetic resonance imaging data and phenotypic information. Existing graph Transformer–based population graph encoders suffer from high computational cost on densely connect...