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MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs.

, , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1427-1434. IOS Press, (2020)

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Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine., , , and . IDEAL (2), volume 12490 of Lecture Notes in Computer Science, page 335-347. Springer, (2020)Multiple Objective Learning for Effective Knowledge Graph Embedding. University of Bonn, Germany, (2023)base-search.net (ftunivbonn:oai:bonndoc.ulb.uni-bonn.de:20.500.11811/10695).MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs., , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1427-1434. IOS Press, (2020)Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task., , , and . NeurIPS Datasets and Benchmarks, (2021)Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter, and . Proc. of the 4th Workshop on Data Science for Social Good (co-located with ECML PKDD), (2019)Steiner tree methods for optimal sub-network identification: an empirical study, and . BMC Bioinformatics, (2013)BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings., , , and . SEMANTiCS (Posters & Demos), volume 2941 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs., , and . CoRR, (2019)Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities., , , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 548-564. Springer, (2021)Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation., , , , and . Publ., 7 (1): 13 (2019)