  SUMMARY: Recently, novel machine-learning algorithms have shown potential for
predicting undiscovered links in biomedical knowledge networks. However,
dedicated benchmarks for measuring algorithmic progress have not yet emerged.
With OpenBioLink, we introduce a large-scale, high-quality and highly
challenging biomedical link prediction benchmark to transparently and
reproducibly evaluate such algorithms. Furthermore, we present preliminary
baseline evaluation results. AVAILABILITY AND IMPLEMENTATION: Source code, data
and supplementary files are openly available at
https://github.com/OpenBioLink/OpenBioLink CONTACT: matthias.samwald ((at))
meduniwien.ac.at
