Deep non-negative matrix factorization with edge generator for link prediction in complex networks-Reference-Cited by-同舟云学术

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Deep non-negative matrix factorization with edge generator for link prediction in complex networks

Published:2023-12-15 Issue:1 Volume:54 Page:592-613
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Yao Yabing,He Yangyang,Huang Zhentian,Xu Zhipeng,Yang Fan,Tang Jianxin,Gao Kai

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangxi

the Higher Education Innovation Fund project of Gansu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05211-1.pdf

Reference70 articles.

1. Wahid-Ul-Ashraf A, Budka M, Musial K (2019) How to predict social relationships-physics-inspired approach to link prediction. Physica A 523:1110–1129

2. Yao Y, Cheng T, Li X, He Y, Yang F, Li T, Liu Z, Xu Z (2023) Link prediction based on the mutual information with high-order clustering structure of nodes in complex networks. Physica A 610:128428

3. Zhou T (2021) Progresses and challenges in link prediction. Iscience 24(11):103217

4. Lü L, Zhou T (2011) Link prediction in complex networks: A survey. Physica A 390(6):1150–1170

5. Li S, Song X, Lu H, Zeng L, Shi M, Liu F (2020) Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm. Expert Syst Appl 139:112839

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