Journal
BIOINFORMATICS
Volume 36, Issue 13, Pages 4097-4098Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa274
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Funding
- European Union's Horizon 2020 research and Innovation program [668353]
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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.
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