Unsupervised User Identity Linkage via Factoid Embedding 阅读笔记
无监督的用户对齐学习 Unsupervised User Identity Linkage via Factoid Embedding 链接地址 https://arxiv.org/pdf/1901.06648.pdf 摘要 其关键思想是关于用户标识的每条信息都描述了真实情况标识所有者，从而将所有者与其他用户区分开来。我们用factoid表示这样一条信息，并将其建模为由用户标识、谓词和组成的三元组
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相关文章
- 1. DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data 阅读笔记
- 2. Graph Neural Networks for User Identity Linkage 2019 论文阅读笔记
- 3. CoLink: An Unsupervised Framework for User Identity Linkage
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