Identifying influential nodes in brain networks via self-supervised graph-transformer

Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang

Abstract: Highlights•The SSGR-GT framework identifies influential nodes in the brain network well.•The model based on Graph-Transformer is suitable for feature extraction of brain graph.•The influential nodes identified play an important role in brain function and structure.•The proposed framework has good generalization on another brain partition atlas.