Discovering Personalized Characteristic Communities in Attributed Graphs-Reference-Cited by-同舟云学术

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Discovering Personalized Characteristic Communities in Attributed Graphs

Published:2024-05-13 Issue: Volume:32 Page:2834-2847
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Niu Yudong¹,Li Yuchen¹,Karras Panagiotis²,Wang Yanhao³,Li Zhao⁴

Affiliation:

1. School of Computing and Information Systems, Singapore Management University,Singapore

2. University of Copenhagen,Department of Computer Science,Copenhagen,Denmark

3. School of Data Science and Engineering, East China Normal University,Shanghai,China

4. Zhejiang Lab,Hangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10598039.pdf?arnumber=10598039

Reference62 articles.

1. A survey of typical attributed graph queries

2. Attribute-driven community search

3. Effective community search for large attributed graphs

4. When Structure Meets Keywords: Cohesive Attributed Community Search

5. Contextual Community Search Over Large Social Networks

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