DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization

DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization

A Non-negative Matrix Factorization (NMF)-based method is proposed to solve the link prediction problem in dynamic graphs. The method learns latent features from the temporal and topological structure of a dynamic network and can obtain higher prediction results. We present novel iterative rules to...

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Bibliographic Details
Main Authors: Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu
Format: Article
Language:English
Published: Tsinghua University Press 2018-03-01
Series:Big Data Mining and Analytics
Subjects:
dynamic network
link prediction
matrix factorization
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2017.9020002
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