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 ...

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 ...

Accurate diagnosis of fault factors in power system lines is crucial for restoring power supply and distribution. However, the diagnostic accuracy of current fault diagnosis methods is limited due to ...

Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous time and discrete time Fourier transforms; Laplace transform; z-transform. REQUIRED TEXT: A.

Pinterest today shared details about how it created PinSage, a graph convolutional network that can learn about things like nearby Pins, or nodes, in massive web-scale graphs.