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Detailed structure of the temporal fusion module for capturing the dynamic features of the functional connectivity. The temporal fusion consists of the forget stage, the select memory stage, and the output stage. The inputs consist of the learned graph feature at the current temporal window and the difference between current and previous temporal windows. The spatial graph attention convolution (SGAC) operator is utilized to perform the feature learning
