Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis 事件

Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis arXiv:2606.03310v1 Announce Type: cross Abstract: 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