Improving Graph Neural Network Models in Link Prediction Task via A Policy-Based Training Method

Graph neural network (GNN), as a widely used deep learning model in processing graph-structured data, has attracted numerous studies to apply it in the link prediction task. In these studies, observed edges in a network are utilized as positive samples, and unobserved edges are randomly sampled as n...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Yigeng Shang, Zhigang Hao, Chao Yao, Guoliang Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	graph neural network link prediction deep learning reinforcement learning
Online Access:	https://www.mdpi.com/2076-3417/13/1/297