Contrastive Graph Pooling for Explainable Classification of Brain Networks

arXiv:2307.11133v2 Announce Type: replace-cross
Abstract: Functional magnetic resonance imaging (fMRI) is a commonly used technique to measure neural activation. Its application has been particularly important in identifying underlying neurodegenerative conditions such as Parkinson's, Alzheimer's, and Autism. Recent analysis of fMRI data models the brain as a graph and extracts features by graph neural networks (GNNs). However, the unique characteristics of fMRI data require a special design of GNN. Tailoring GNN to generate effective and domain-explainable features remains challenging. In this …

arxiv brain classification cs.ai cs.lg graph networks pooling q-bio.nc type