Graph Representation Learning and Its Applications: A Survey

Graph Representation Learning and Its Applications: A Survey

Graphs are data structures that effectively represent relational data in the real world. Graph representation learning is a significant task since it could facilitate various downstream tasks, such as node classification, link prediction, etc. Graph representation learning aims to map graph entities...

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Bibliographic Details
Main Authors:	Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Sensors
Subjects:	graph embedding graph representation learning graph transformer graph neural networks
Online Access:	https://www.mdpi.com/1424-8220/23/8/4168

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