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Kai-Yue Du

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#graph neural networks Open access Sep 2026

A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.

VR-based AO+MI paradigm is found to enhance sensorimotor connectivity and promote large-scale network integration, indicating more coordinated neural dynamics during MI tasks, and a hierarchical graph learning framework tailored for VR-based MI decoding is proposed.

Kai-Yue Du, Wen-Wen Chang, Wei-Xuan Kong et al. · 0 citations

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