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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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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)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)Soft marginal TransE for scholarly knowledge graph completionM. Nayyeri, S. Vahdati, J. Lehmann, and H. Yazdi. (2019)Improving access to science for social goodM. Ali, S. Vahdati, S. Singh, S. Dasgupta, and J. Lehmann. Machine Learning and Knowledge Discovery in Databases, 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)Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge GraphsB. Song, K. Amouzouvi, S. Vahdati, and J. Lehmann. (2023)Accepted at ECML.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)3D learning and reasoning in link prediction over knowledge graphsM. Nayyeri, M. Alam, J. Lehmann, and S. Vahdati. IEEE Access, (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)

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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