Articles with "subspace convolutional" as a keyword



Photo by joelfilip from unsplash

Fuzzy Graph Subspace Convolutional Network.

Sign Up to like & get
recommendations!
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