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BioKEEN: A library for learning and evaluating biological knowledge graph embeddings
View ORCID ProfileMehdi Ali, View ORCID ProfileCharles Tapley Hoyt, View ORCID ProfileDaniel Domingo-Fernández, View ORCID ProfileJens Lehmann, Hajira Jabeen
doi: https://doi.org/10.1101/475202
Mehdi Ali
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
Charles Tapley Hoyt
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
2Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin 53754, Germany
Daniel Domingo-Fernández
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
2Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin 53754, Germany
Jens Lehmann
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
3Department of Enterprise Information Systems, Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin 53754, Germany
Hajira Jabeen
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
Posted November 23, 2018.
BioKEEN: A library for learning and evaluating biological knowledge graph embeddings
Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann, Hajira Jabeen
bioRxiv 475202; doi: https://doi.org/10.1101/475202
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