[Article] A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images.

summary: They proposed a novel GCN based deep learning model to diagnose autism spectrum disorder. They used spatial-temporal features from fMRI data and used Graph convolution network with attention. They achieved SOTA performance.

Park, Kyoung-Won, and Sung-Bae Cho. “A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images.” Applied Soft Computing 142 (2023): 110363.)