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Autism Spectrum Disorder (ASD) is a common psychiatric disorder disease that typically causes impaired communication and compromised social interactions. Functional magnetic resonance imaging (fMRI) data is one of the common neuroimaging modalities for understanding human brain functionalities as well as the diagnosis and treatment of brain disorders. There are many successful applications of deep learning to fMRI analytics where fMRI data is mostly considered structured Euclidean grids or time series, and features were usually extracted from the computer vision or time series perspective. Graph neural networks (GNNs) are neural networks that learn the interactions of graphs via message passing between the nodes of graphs. Recently variants of GNNs such as graph attention network (GAT) have demonstrated outstanding performances on many machine learning tasks. In this paper, we proposed a …