GPENs: Graph Data Learning With Graph Propagation-Embedding Networks.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3120100
Abstract: Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured data representation and learning tasks, such as graph… read more here.
Keywords: representation; propagation; graph propagation; propagation embedding ... See more keywords