These data are modeled using adaptive graph convolutional networks (AAGCNs), able to capture the spatio-temporal dependencies in infant movements. We also show that our data-driven approach achieves ...

In order to address the above limitations, this study proposes a novel adversarial learning-based node–edge graph attention network (AL-NEGAT) for ASD identification based on multimodal MRI data.