Variational Cross-Network Embedding for Anonymized User Identity Linkage

Author:

Chu Xiaokai1,Fan Xinxin2,Zhu Zhihua3,Bi Jingping2

Affiliation:

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

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. Tencent PCG, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Cited by 10 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. Topic Partition of User-Generated Texts for User Identity Linkage Across Social Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning;IEEE Transactions on Knowledge and Data Engineering;2024-01

3. MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

4. Robust Network Alignment with the Combination of Structure and Attribute Embeddings;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

5. Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

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