Attributed Graph Embedding Based on Attention with Cluster

Attributed Graph Embedding Based on Attention with Cluster

Graph embedding is of great significance for the research and analysis of graphs. Graph embedding aims to map nodes in the network to low-dimensional vectors while preserving information in the original graph of nodes. In recent years, the appearance of graph neural networks has significantly improv...

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Bibliographic Details
Main Authors:	Bin Wang, Yu Chen, Jinfang Sheng, Zhengkun He
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Mathematics
Subjects:	network representation learning attributed graph embedding graph autoencoder graph neural networks
Online Access:	https://www.mdpi.com/2227-7390/10/23/4563

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