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]
@inproceedings{MadushankaI22,
title = {MDNCaching: A Strategy to Generate Quality Negatives for Knowledge Graph Embedding},
author = {Tiroshan Madushanka and Ryutaro Ichise},
year = {2022},
doi = {10.1007/978-3-031-08530-7_74},
url = {https://doi.org/10.1007/978-3-031-08530-7_74},
researchr = {https://researchr.org/publication/MadushankaI22},
cites = {0},
citedby = {0},
pages = {877-888},
booktitle = {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},
editor = {Hamido Fujita and Philippe Fournier-Viger and Moonis Ali and Yinglin Wang},
volume = {13343},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-08530-7},
}