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The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability.

, , , and . ISWC (2), volume 11779 of Lecture Notes in Computer Science, page 3-18. Springer, (2019)

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The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track., , , , , , , , and . Database J. Biol. Databases Curation, (2019)Predicting Missing Links Using PyKEEN., , , and . ISWC (Satellites), volume 2456 of CEUR Workshop Proceedings, page 245-248. CEUR-WS.org, (2019)Improving Access to Science for Social Good, , , , and . Proc. of the 4th Workshop on Data Science for Social Good (co-located with ECML PKDD), (2019)The KEEN Universe, , , and . International Semantic Web Conference, page 3--18. Springer, (2019)Affinity Dependent Negative Sampling for Knowledge Graph Embeddings., , , , and . DL4KG@ESWC, volume 2635 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Investigating Graph Representation Learning Methods For Link Prediction in Knowledge Graphs. University of Bonn, Germany, (2023)base-search.net (ftunivbonn:oai:bonndoc.ulb.uni-bonn.de:20.500.11811/11122).BioKEEN: a library for learning and evaluating biological knowledge graph embeddings, , , , and . Bioinformatics, 35 (18): 3538--3540 (2019)CLEP., , , , , , , and . (March 2024)Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework, , , , , , , , and . (2020)cite arxiv:2006.13365.Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)., , , , , , and . IJCAI, page 5259-5263. ijcai.org, (2022)