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Temporal knowledge graph completion based on time series Gaussian embedding

C. Xu, M. Nayyeri, F. Alkhoury, H. Yazdi, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)

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Temporal knowledge graph completion based on time series Gaussian embeddingC. Xu, M. Nayyeri, F. Alkhoury, H. Yazdi, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)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)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)OECM: A cross-lingual approach for ontology enrichmentS. Ibrahim, S. Fathalla, H. Yazdi, J. Lehmann, and H. Jabeen. The Semantic Web: ESWC 2019 Satellite Events, Springer International Publishing, Cham, (2019)Fantastic knowledge graph embeddings and how to find the right space for themM. Nayyeri, C. Xu, S. Vahdati, N. Vassilyeva, E. Sallinger, H. Yazdi, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)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)

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Temporal knowledge graph completion based on time series Gaussian embedding

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Temporal knowledge graph completion based on time series Gaussian embedding

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Temporal knowledge graph completion based on time series Gaussian embedding