Figure 1
The schematic representation of the proposed DS-GCN with assistant task training for disease diagnosis using fMRI data. The static features of each node are defined by structural images (A1), and time-varying edges are defined by dynamic functional connectivity (A2). Dynamic graphs are then processed by diagnosis network (B2) and two subnetworks (B1 and B3) for assistance.

The schematic representation of the proposed DS-GCN with assistant task training for disease diagnosis using fMRI data. The static features of each node are defined by structural images (A1), and time-varying edges are defined by dynamic functional connectivity (A2). Dynamic graphs are then processed by diagnosis network (B2) and two subnetworks (B1 and B3) for assistance.

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