Learning Data-Driven Propagation Mechanism for Graph Neural Network

Learning Data-Driven Propagation Mechanism for Graph Neural Network

A graph is a relational data structure suitable for representing non-Euclidean structured data. In recent years, graph neural networks (GNN) and their subsequent variants, which utilize deep neural networks to complete graph analysis and representation, have shown excellent performance in various ap...

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Bibliographic Details
Main Authors: Yue Wu, Xidao Hu, Xiaolong Fan, Wenping Ma, Qiuyue Gao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
graph neural network
propagation mechanism
data-driven method
deep learning
Online Access:https://www.mdpi.com/2079-9292/12/1/46

Internet

https://www.mdpi.com/2079-9292/12/1/46

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