AI RESEARCH
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
arXiv CS.AI
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ArXi:2410.18103v2 Announce Type: replace-cross Graph neural networks (GNNs) are becoming increasingly popular for EEG-based depression detection. However, previous GNN-based methods fail to sufficiently consider the characteristics of depression, thus limiting their performance. Firstly, studies in neuroscience indicate that depression patients exhibit both common and individualized brain abnormal patterns.