$(\alpha,\ \beta)$-AWCS: $(\alpha,\ \beta)$-Attributed Weighted Community Search on Bipartite Graphs-Reference-Cited by-同舟云学术

$(\alpha,\ \beta)$-AWCS: $(\alpha,\ \beta)$-Attributed Weighted Community Search on Bipartite Graphs

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Li Dengshi¹,Liang Xiaocong¹,Hu Ruimin²,Zeng Lu¹,Wang Xiaochen²

Affiliation:

1. School of Artificial Intelligence, Jianghan University,Wuhan,China,430056

2. School of Computer Science, Wuhan University,Wuhan,China,430072

Funder

Natural Science Foundation of China

Doctoral Research Foundation of Jianghan University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892118.pdf?arnumber=9892118

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3. Ensemfdet: An ensemble approach to fraud detection based on bipartite;y;graph[C]//2021 IEEE 37th International Conference on Data Engineering (ICDE),0

4. Community detection in graphs[J];s;Physics Reports,2010

5. Community detection in bipartite networks using weighted symmetric binary matrix factorization[J];y;International Journal of Modern Physics C,2015

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