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Fantastic knowledge graph embeddings and how to find the right space for them

M. Nayyeri, C. Xu, S. Vahdati, N. Vassilyeva, E. Sallinger, H. Yazdi, and J. Lehmann. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2020)

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Semantic representation of physics research dataA. Say, S. Fathalla, S. Vahdati, J. Lehmann, and S. Auer. Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, SCITEPRESS - Science and Technology Publications, (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)"Why do you cite?" An investigation on Citation Intents and Decision-Making Classification ProcessesL. Paolini, S. Vahdati, A. Di Iorio, R. Wardenga, I. Heibi, and S. Peroni. (2024)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)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)Ontology design for pharmaceutical research outcomesZ. Say, S. Fathalla, S. Vahdati, J. Lehmann, and S. Auer. Digital Libraries for Open Knowledge, Springer International Publishing, Cham, (2020)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)Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph CompletionK. Amouzouvi, B. Song, S. Vahdati, and J. Lehmann. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, page 9832--9842. ELRA and ICCL, (2024)Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA BenchmarkJ. Lehmann, A. Meloni, E. Motta, F. Osborne, D. Recupero, A. Salatino, and S. Vahdati. ESWC 2024, 14664, page 199--217. Cham, Springer, (2024)Soft marginal TransE for scholarly knowledge graph completionM. Nayyeri, S. Vahdati, J. Lehmann, and H. Yazdi. (2019)

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Fantastic knowledge graph embeddings and how to find the right space for them

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fantastic knowledge graph embeddings and how to find the right space for them

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Fantastic knowledge graph embeddings and how to find the right space for them