Dynamic community detection based on graph convolutional networks and contrastive learning-Reference-Cited by-同舟云学术

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Dynamic community detection based on graph convolutional networks and contrastive learning

Published:2023-11 Issue: Volume:176 Page:114157
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Li Xianghua,Zhen Xiyuan,Qi Xin,Han Huichun,Zhang Long,Han Zhen

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference48 articles.

1. Explaining social events through community evolution on temporal networks;Li;Appl Math Comput,2021

2. Beauty in artistic expressions through the eyes of networks and physics;Perc;J R Soc Interface,2020

3. Complex network analysis on provincial innovation development in China;Yu;Appl Math Comput,2023

4. Link cooperation effect of cooperative epidemics on complex networks;Wang;Appl Math Comput,2023

5. Siimco: A forensic investigation tool for identifying the influential members of a criminal organization;Taha;IEEE Trans Inf Forensics Secur,2015

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