Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. (arXiv:2203.10093v3 [cs.LG] UPDATED)

Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) and
functional magnetic resonance imaging (fMRI), enable us to model the human
brain as a brain network or connectome. Capturing brain networks' structural
information and hierarchical patterns is essential for understanding brain
functions and disease states. Recently, the promising network representation
learning capability of graph neural networks (GNNs) has prompted many GNN-based
methods for brain network analysis to be proposed. Specifically, these methods
apply feature aggregation and global pooling to convert …

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