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 ...

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 ...

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 ...

Summary <p>The three most often used operations in digital signal processing are convolution, correlation, and the discrete Fourier transform (DFT). In the case of convolution, one of the two ...