Exploring Adaptive Graph Topologies and Temporal Graph Networks for EEG-Based Depression Detection
In recent years, Graph Neural Networks (GNNs) based on deep learning techniques have achieved promising results in EEG-based depression detection tasks but still have some limitations. Firstly, most existing GNN-based methods use pre-computed graph adjacency matrices, which ignore the differences in...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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