WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning

Author:

Liu Li1ORCID,Chen Penggang1ORCID,Li Xin2ORCID,Cheung William K.3ORCID,Zhang Youmin1ORCID,Liu Qun1ORCID,Wang Guoyin1ORCID

Affiliation:

1. Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Beijing Institute of Technology, Beijing, China

3. Hong Kong Baptist University, Kowloon Tong, Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Chongqing Municipal Education Commission

Science and Technology Research Program of Chongqing Municipal Education Commission

Doctoral Innovation Talent Program of Chongqing University of Posts and Telecommunications

Hong Kong Baptist University

Hong Kong Scholars program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Reference48 articles.

1. Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds

2. User Identity Linkage across Online Social Networks

3. Exploiting innocuous activity for correlating users across sites

4. Aligning users across social networks using network embedding;Liu,2016

5. Predict anchor links across social networks via an embedding approach;Man,2016

Cited by 2 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. Aligning Users across Social Networks via Integrating Structural Similarity and Graph Representation Learning;2023 9th International Conference on Big Data and Information Analytics (BigDIA);2023-12-15

2. Enhancing Network Alignment through Multi-Scale Information Fusion;2023 IEEE International Conference on Knowledge Graph (ICKG);2023-12-01

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