A deep contrastive framework for unsupervised temporal link prediction in dynamic networks

In dynamic networks, temporal link prediction aims to predict the appearance and disappearance of links in future snapshots based on the network structure we have observed. It also plays a crucial role in network analysis and predicting the behavior of the dynamic system. However, most existing stud...

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Bibliographic Details

Published in:	Information sciences Vol. 667; p. 120499
Main Authors:	Jiao, Pengfei, Zhang, Xinxun, Liu, Zehao, Zhang, Long, Wu, Huaming, Gao, Mengzhou, Li, Tianpeng, Wu, Jian
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.05.2024
Subjects:	Contrastive learning Deep learning Dynamic network Multi-step prediction Unsupervised link prediction Deep learning Unsupervised link prediction Dynamic network Multi-step prediction Contrastive learning
ISSN:	0020-0255
Online Access:	Get full text
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