Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm

Link prediction aims to predict missing links or eliminate spurious links and anticipate new links by analyzing observed network topological structure information. Non-negative matrix factorization(NMF) is widely used in solving the issue of link prediction due to its good interpretability and scala...

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Bibliographic Details
Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 54; no. 5; pp. 4095 - 4120
Main Authors:	Li, Tongfeng, Zhang, Ruisheng, Yao, Yabing, Liu, Yunwu, Ma, Jun
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2024 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial Intelligence Computer Science Factorization Links Machines Manufacturing Mechanical Engineering Methods Prediction models Processes Random noise Link prediction NMF Deep autoencoder-like NMF norm
ISSN:	0924-669X, 1573-7497
Online Access:	Get full text
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