AI RESEARCH
Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
arXiv CS.LG
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ArXi:2606.03310v1 Announce Type: new Understanding complex interactions between brain regions is critical for early neurodegenerative disease classification such as Alzheimer's Disease (AD) and Parkinson's Disease (PD). While graph-based models are widely used to analyze brain networks, most existing approaches primarily focus on pairwise interactions between directly connected nodes, limiting their ability to capture higher-order dependencies across multiple regions.