CANA: Causal-enhanced Social Network Alignment

Author:

Shao Jiangli1ORCID,Wang Yongqing2ORCID,Guo Fangda2ORCID,Shi Boshen1ORCID,Shen Huawei1ORCID,Cheng Xueqi1ORCID

Affiliation:

1. Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, CAS, Beijing, China

Funder

China Postdoctoral Science Foundation

National Key R&D Program Young Scientists Project

National Natural Science Foundation of China

Publisher

ACM

Reference57 articles.

1. MAUIL: Multilevel attribute embedding for semisupervised user identity linkage

2. Siyuan Chen , Jiahai Wang , Xin Du , and Yanqing Hu . 2020 . A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage . In ECAI 2020, Vol. 325 . IOS Press, 1754--1761. Siyuan Chen, Jiahai Wang, Xin Du, and Yanqing Hu. 2020. A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. In ECAI 2020, Vol. 325. IOS Press, 1754--1761.

3. Xiaolin Chen , Xuemeng Song , Guozhen Peng , Shanshan Feng , and Liqiang Nie . 2021 . Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. In SIGIR '21 . ACM, 1084--1093. Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, and Liqiang Nie. 2021. Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. In SIGIR '21. ACM, 1084--1093.

4. Xiaokai Chu , Xinxin Fan , Di Yao , Zhihua Zhu , Jianhui Huang , and Jingping Bi . 2019 . Cross-Network Embedding for Multi-Network Alignment. In WWW'19 . Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, and Jingping Bi. 2019. Cross-Network Embedding for Multi-Network Alignment. In WWW'19.

5. Xiaokai Chu , Xinxin Fan , Zhihua Zhu , and Jingping Bi . 2021 . Variational Cross-Network Embedding for Anonymized User Identity Linkage. In CIKM '21 . Xiaokai Chu, Xinxin Fan, Zhihua Zhu, and Jingping Bi. 2021. Variational Cross-Network Embedding for Anonymized User Identity Linkage. In CIKM '21.

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1. Locally-adaptive mapping for network alignment via meta-learning;Information Processing & Management;2024-09

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