Finding critical edges in networks through deep reinforcement learning-Reference-Cited by-同舟云学术

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Finding critical edges in networks through deep reinforcement learning

Published:2023-08-17 Issue: Volume:30 Page:693-701
ISSN:
Container-title:2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN)
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Author:

Wang Xuecheng¹,Zeng Chen²,Han Lu³,Zeng Xi³,Wang JunXia²,Luo Wei²,Jiang Bei⁴,Peng Jiajie¹

Affiliation:

1. Research & Development Institution of Northwestern Polytechnical University in Shenzhen,Xi’an,China

2. China Ship Development and Design Center,Wuhan,China

3. Northwestern Polytechnical University, Xi’an 710072, China,School of Computer Science,Xi’an,China

4. Tianjin second people’s hospital,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391853/10392302/10393114.pdf?arnumber=10393114

Reference39 articles.

1. Exploring complex networks

2. Identifying critical edges in complex networks

3. Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithms

4. Trading Interactions for Topology in Scale-Free Networks

5. Community structure in social and biological networks

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