Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks-Reference-Cited by-同舟云学术

Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks

Published:2022-07-15 Issue:3 Volume:82 Page:3745-3768
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Nasiri Elahe,Berahmand Kamal^ORCID,Li Yuefeng

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12943-8.pdf

Reference71 articles.

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3. Bandyopadhyay S et al (2018) Fscnmf: fusing structure and content via non-negative matrix factorization for embedding information networks. arXiv preprint arXiv:1804.05313

4. Berahmand K et al (2020) A new attributed graph clustering by using label propagation in complex networks. J King Saud Univ-Comput Inf Sci

5. Berahmand K, Nasiri E, Li Y (2021) Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding. Comput Biol Med 138:104933

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