Efficient Community Search in Edge-Attributed Graphs-Reference-Cited by-同舟云学术

Efficient Community Search in Edge-Attributed Graphs

Published:2023-10-01 Issue:10 Volume:35 Page:10790-10806
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li Ling¹^ORCID,Zhao Yuhai¹^ORCID,Luo Siqiang²^ORCID,Wang Guoren³^ORCID,Wang Zhengkui⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering and the Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

4. InfoComm Technology Cluster, Singapore Institute of Technology, Singapore

Funder

National Natural Science Foundation of China

Singapore MOE Tier 2

Tier 1

Innovative Talents of Higher Education in Liaoning Province

Research Operating Funds for National Defence Major Incubation Projects

China Scholarship Council

Singapore Institue of Technology Ignition

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10103170.pdf?arnumber=10103170

Reference43 articles.

1. Robust Detection of Link Communities With Summary Description in Social Networks

2. Index-Based Densest Clique Percolation Community Search in Networks

3. Incremental Community Detection on Large Complex Attributed Network

4. Finding communities in directed networks

5. The community-search problem and how to plan a successful cocktail party

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1. Efficient Community Search in Edge-Attributed Graphs (Extended Abstract);2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Efficient Unsupervised Community Search with Pre-Trained Graph Transformer;Proceedings of the VLDB Endowment;2024-05