Enhancing Community Deception based on Graph Autoencoder and Genetic Algorithm-Reference-Cited by-同舟云学术

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Enhancing Community Deception based on Graph Autoencoder and Genetic Algorithm

Published:2023-12-08 Issue: Volume:32 Page:742-746
ISSN:
Container-title:2023 9th International Conference on Computer and Communications (ICCC)
language:
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Author:

Wang Xiang¹,Li Jingwen²,Guan Yirun³,Yuan Jie⁴,Tao Haicheng⁵,Zhang Shan⁶

Affiliation:

1. Nanjing University of Finance & Economics(NUFE),School of Public Finance and Taxation,Nanjing,China

2. NUFE,School of Public Finance and Taxation,Nanjing,China

3. NUFE,School of Accounting,Nanjing,China

4. NUFE,Massey Institute,Nanjing,China

5. NUFE,School of Information Engineering,Nanjing,China

6. Liyang Tianmu Lake Secondary Vocational School,Liyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507335.pdf?arnumber=10507335

Reference17 articles.

1. Hierarchical structure and the prediction of missing links in networks

2. Link communities detection: an embedding method on the line hypergraph

3. Detecting Prosumer-Community Groups in Smart Grids From the Multiagent Perspective

4. HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series

5. Hiding individuals and communities in a social network

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