Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update ...

where the first layer of the convolutional operation is performed entirely by the PCAC chip. Fig. 2(b) shows the probability bar graph of the recognition results of ten gestures computed by the ...

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 ...