A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning-Reference-Cited by-同舟云学术

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A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning

Published:2023 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Kang David Y.¹^ORCID,Lee Woncheol²,Lee Yeon-Chang³^ORCID,Han Kyungsik⁴,Kim Sang-Wook²^ORCID

Affiliation:

1. School of Information, University of Michigan, Ann Arbor, MI, USA

2. Department of Computer Science, Hanyang University, Seoul, South Korea

3. School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA

4. Department of Intelligence Computing, Hanyang University, Seoul, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09996133.pdf?arnumber=9996133

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding;ACM Transactions on Knowledge Discovery from Data;2024-08-06

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