A novel link prediction method integrated link attributes for directed graph-Reference-Cited by-同舟云学术

A novel link prediction method integrated link attributes for directed graph

Published:2022-05-26 Issue:19 Volume:36 Page:
ISSN:0217-9792
Container-title:International Journal of Modern Physics B
language:en
Short-container-title:Int. J. Mod. Phys. B

Author:

Wang Guishen¹,Li Hao¹,Pu Jiajia¹,Wu Junlin¹,Wang Hongmei¹

Affiliation:

1. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, P. R. China

Abstract

Link prediction is an important topic in the complex networks which aims to mine the missed or unobserved links and find the possible connected links in the network according to the known network structure. In this paper, we proposed a novel link prediction method for the directed graph which considers link semantic. The experimental results on the wiki vote network show that our link prediction method integrating link attributes achieved better results than the other compared methods.

Funder

Educational Department of Jilin Province of China

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0217979222501132

Reference25 articles.

1. Link prediction based on network embedding and similarity transferring methods

2. A Survey of Link Prediction in Complex Networks

3. A new classification algorithm recommendation method based on link prediction

4. Link prediction in recommender systems based on vector similarity

5. Link prediction in recommender systems based on multi-factor network modeling and community detection

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