Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3208557
Abstract: Graph convolutional networks (GCNs) are a popular approach to learn the feature embedding of graph-structured data, which has shown to be highly effective as well as efficient in performing node classification in an inductive way.…
read more here.
Keywords:
subspace convolutional;
space;
graph;
graph subspace ... See more keywords