Convolution Based Graph Representation Learning from the Perspective of High Order Node Similarities

Nowadays, graph representation learning methods, in particular graph neural network methods, have attracted great attention and performed well in many downstream tasks. However, most graph neural network methods have a single perspective since they start from the edges (or adjacency matrix) of graph...

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Hauptverfasser:	Xing Li, Qingsong Li, Wei Wei, Zhiming Zheng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-12-01
Schriftenreihe:	Mathematics
Schlagworte:	graph representation learning graph neural network node similarity node classification
Online-Zugang:	https://www.mdpi.com/2227-7390/10/23/4586
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