Abstract: In this study, we propose a graph sequence neural network (GSNN) to accurately decode patterns of motor imagery from electroencephalograms (EEGs) in the presence of distractions. GSNN aims ...
Abstract: Graph neural network-based recommender systems are blossoming recently, and it can explicitly express user-item high-order connectivity information, so it can significantly improve the ...
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