Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention

Neural Information Processing Systems 

Although recent attempts to apply GNN to the FC network have shown promising results, there is still a common limitation that they usually do not incorporate the dynamic characteristics of the FC network which fluctuates over time.

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