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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
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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
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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
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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
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Hajira Jabeen
1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
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Article Information

doi 
https://doi.org/10.1101/475202
History 
  • November 23, 2018.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

Author Information

  1. Mehdi Ali1,*,
  2. Charles Tapley Hoyt1,2,
  3. Daniel Domingo-Fernández1,2,
  4. Jens Lehmann1,3 and
  5. Hajira Jabeen1
  1. 1Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
  2. 2Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin 53754, Germany
  3. 3Department of Enterprise Information Systems, Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin 53754, Germany
  1. ↵*Corresponding Author
    : Mehdi Ali, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany. Telephone details: +49 228733725.
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Posted November 23, 2018.
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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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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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