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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Hlavní autoři: Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-04-01
Edice:Sensors
Témata:
graph embedding
graph representation learning
graph transformer
graph neural networks
On-line přístup:https://www.mdpi.com/1424-8220/23/8/4168

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https://www.mdpi.com/1424-8220/23/8/4168

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