Network Embedding Using Deep Robust Nonnegative Matrix Factorization

Network Embedding Using Deep Robust Nonnegative Matrix Factorization

As an effective technique to learn low-dimensional node features in complicated network environment, network embedding has become a promising research direction in the field of network analysis. Due to the virtues of better interpretability and flexibility, matrix factorization based methods for net...

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Bibliographic Details
Main Authors: Chaobo He, Hai Liu, Yong Tang, Xiang Fei, Hanchao Li, Qiong Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Network embedding
deep nonnegative matrix factorization
network analysis
complex networks
Online Access:https://ieeexplore.ieee.org/document/9086036/

Internet

https://ieeexplore.ieee.org/document/9086036/

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