Topological Cycle Graph Attention Network for Brain Functional Connectivity

arXiv:2403.19149v1 Announce Type: new
Abstract: This study, we introduce a novel Topological Cycle Graph Attention Network (CycGAT), designed to delineate a functional backbone within brain functional graph--key pathways essential for signal transmissio--from non-essential, redundant connections that form cycles around this core structure. We first introduce a cycle incidence matrix that establishes an independent cycle basis within a graph, mapping its relationship with edges. We propose a cycle graph convolution that leverages a cycle adjacency matrix, derived from the cycle incidence …

abstract arxiv attention brain connectivity core cs.lg form functional graph key matrix network novel q-bio.nc signal study type