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September 15, 2024BioengineeringOpen Access

Efficient Multi-View Graph Convolutional Network with Self-Attention for Multi-Class Motor Imagery Decoding

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Authors

XTXiyue TanDWDan WangMXMeng Xu

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Tan et al. (2024) studied this question.

synapsesocial.com/papers/68e587f4b6db6435875241c0https://doi.org/10.3390/bioengineering11090926
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  1. 1Graph convolution neural network channel selection with attention for motor imagery EEG decoding2026
  2. 2MST-DGCN: A Multi-Scale Spatio-Temporal and Dynamic Graph Convolution Fusion Network for Electroencephalogram Recognition of Motor Imagery2024 · 1 citations
  3. 3MAGCANet: A multiscale adaptive graph-convolutional attention network for MI-EEG decoding2026
  4. 4A Multi-Branch Network for Integrating Spatial, Spectral, and Temporal Features in Motor Imagery EEG Classification2025 · 4 citations
  5. 5A Multi-Scale Attention-based Reconstruction Fusion Network for Motor Imagery Classification2026 · 1 citations