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Let the margin SlidE$\pm$ for knowledge graph embeddings via a correntropy objective function

M. Nayyeri, X. Zhou, S. Vahdati, R. Izanloo, H. Yazdi, and J. Lehmann. 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)

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Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective FunctionM. Nayyeri, X. Zhou, S. Vahdati, H. Yazdi, and J. Lehmann. ArXiv, (2019)TeRo: A Time-aware Knowledge Graph Embedding via Temporal RotationC. Xu, M. Nayyeri, F. Alkhoury, H. Yazdi, and J. Lehmann. Proceedings of the 28th International Conference on Computational Linguistics, International Committee on Computational Linguistics, (2020)On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the ScoreM. Nayyeri, C. Xu, Y. Yaghoobzadeh, H. Yazdi, and J. Lehmann. ArXiv, (2019)MDE: Multiple distance embeddings for link prediction in knowledge graphsA. Sadeghi, D. Graux, H. Yazdi, and J. Lehmann. (2019)Embedding-based recommendations on scholarly knowledge graphsM. Nayyeri, S. Vahdati, X. Zhou, H. Shariat Yazdi, and J. Lehmann. The Semantic Web, Springer International Publishing, Cham, (2020)Soft marginal TransE for scholarly knowledge graph completionM. Nayyeri, S. Vahdati, J. Lehmann, and H. Yazdi. (2019)From monolingual to multilingual ontologies: The role of cross-lingual ontology enrichmentS. Ibrahim, S. Fathalla, H. Shariat Yazdi, J. Lehmann, and H. Jabeen. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)LogicENN: A neural based knowledge graphs embedding model with logical rulesM. Nayyeri, C. Xu, J. Lehmann, and H. Yazdi. (2019)Temporal knowledge Graph embedding model based on Additive Time Series decompositionC. Xu, M. Nayyeri, F. Alkhoury, H. Yazdi, and J. Lehmann. (2019)Let the margin SlidE$\pm$ for knowledge graph embeddings via a correntropy objective functionM. Nayyeri, X. Zhou, S. Vahdati, R. Izanloo, H. Yazdi, and J. Lehmann. 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)

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Let the margin SlidE$\pm$ for knowledge graph embeddings via a correntropy objective function

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Let the margin SlidE$\pm$ for knowledge graph embeddings via a correntropy objective function

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Let the margin SlidE$\pm$ for knowledge graph embeddings via a correntropy objective function