Snigdhansu Chatterjee

Enhancing structural to functional brain network prediction using topological graph learning

TopoGCN is proposed, a topology-informed graph convolutional network that integrates topological data analysis (TDA) into structure—function prediction and incorporating persistent-homology information into graph learning improves the modeling of structure-function relationships in the human brain.