Jun Hong Feng

Connectome-based individual prediction of cognitive behaviors via the graph propagation network reveals directed brain network topology

This study introduces a graph propagation network to predict cognitive behaviors from brain connectomes, finding it outperforms traditional methods by leveraging directed network topology.

Multi-hops functional connectivity improves individual prediction of fusiform face activation via a graph neural network

The paper uses a multi-hops graph neural network to predict individual fusiform face activation, showing improved performance over previous methods.