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Getting Started

  • Installation
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  • Understanding the Evaluation
  • Toy Example with Translational Distance Models
  • Optimizing a Model
  • Running an Ablation Study
  • Bring Your Own Data
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  • Novel Link Prediction
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Reference

  • Pipeline
  • Models
  • Datasets
    • Functions
    • Classes
      • Hetionet
      • Kinships
      • Nations
      • OpenBioLink
      • OpenBioLinkF1
      • OpenBioLinkF2
      • OpenBioLinkLQ
      • UMLS
      • FB15k
      • FB15k237
      • WN18
      • WN18RR
      • YAGO310
    • Class Inheritance Diagram
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    • Class Inheritance Diagram
  • Triples
  • Training
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  • Negative Sampling
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  • Sealant

Appendix

  • References
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  • OpenBioLink
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OpenBioLink¶

class OpenBioLink(create_inverse_triples=False, eager=False)[source]¶

Bases: pykeen.datasets.base.PackedZipRemoteDataSet

The OpenBioLink dataset.

OpenBioLink is an open-source, reproducible framework for generating biological knowledge graphs for benchmarking link prediction. It is available on GitHub at https://github.com/openbiolink/openbiolink and published in [breit2020]. There are four available data sets - this class represents the high quality, directed set.

breit2020

Breit, A. (2020) OpenBioLink: A benchmarking framework for large-scale biomedical link prediction, Bioinformatics

Initialize dataset.

Parameters
  • url – The url where to download the dataset from

  • name – The name of the file. If not given, tries to get the name from the end of the URL

  • cache_root – An optional directory to store the extracted files. Is none is given, the default PyKEEN directory is used. This is defined either by the environment variable PYKEEN_HOME or defaults to ~/.pykeen.

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