Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach-Reference-Cited by-同舟云学术

Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach

Published:2020-05 Issue:5 Volume:16 Page:3006-3017
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Song Yan^ORCID,Li Ming,Luo Xin^ORCID,Yang Guisong,Wang Chongjing

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Open Project of China Academy of Aerospace Aerodynamics

National Basic Research Program of China

Pioneer Hundred Talents Program of Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/8999752/08680672.pdf?arnumber=8680672

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