MDNCaching: A Strategy to Generate Quality Negatives for Knowledge Graph Embedding

Tiroshan Madushanka, Ryutaro Ichise. MDNCaching: A Strategy to Generate Quality Negatives for Knowledge Graph Embedding. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, editors, Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings. Volume 13343 of Lecture Notes in Computer Science, pages 877-888, Springer, 2022. [doi]

Abstract

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