A framework for differentially-private knowledge graph embeddings

被引：0
|
作者：
Han, Xiaolin [1 ]
Dell'Aglio, Daniele [2 ,3 ]
Grubenmann, Tobias [4 ]
Cheng, Reynold [1 ]
Bernstein, Abraham [3 ]
机构：
[1] Department of Computer Science, The University of Hong Kong, Hong Kong
[2] Department of Computer Science, Aalborg University, Aalborg, Denmark
[3] Department of Informatics, University of Zurich, Zurich, Switzerland
[4] Department of Computer Science, University of Bonn, Bonn, Germany
来源：
Journal of Web Semantics | 2022年 / 72卷
基金：
瑞士国家科学基金会;
关键词：
AS-links - Data mining tasks - Differential privacies - Embedding method - Embeddings - Graph embeddings - Graph-based data minings - Knowledge graph embedding - Knowledge graphs - Link prediction;
D O I：
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中图分类号：
学科分类号：
摘要：
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