Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury. ... E-Prime software was used for MI stimulation, and 64-lead EEG signal acquisition system was used ...

Graph signals are signals indexed by nodes of the graph. Graph Signal Processing (GSP) extends Discrete Signal Processing (DSP) to graph signals.In this paper, we explore shifting, convolution, and ...

Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

To extend the advantages of graph convolutions to context-aware recommender system (CARS), which represents a generic type of models that can handle various side information, a research team led ...