These systems can learn to do things by analyzing examples, so they don ... that mimics the human brain using convolution operations to interpret graphs. Now it's time to see how it all comes ...

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 ...

Learn More 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.

A graph convolutional network (GCN) approach allows classification of schizophrenia at the individual level, according to a study published online May 15 in Schizophrenia Bulletin. Du Lei ...