Multiscale Diffusion for Bio-topological Representation Learning on Multimodal Brain Graphs

Abstract

Understanding how neurological disorders disrupt brain network topology requires modeling the brain’s hierarchical and multiscale organization. However, existing brain graph learning methods predominantly focus on single-scale structures, limiting their ability to capture interdependent topological alterations across modalities and scales. We propose BrainSTORE, a multiscale diffusion framework for bio-topological representation learning on multimodal brain graphs that jointly models structural and functional connectivity. BrainSTORE introduces a multiscale community-detection strategy that constructs hierarchically consistent topological priors across local, meso-, and global scales while p..