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.

中文翻译：

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OpenBioLink：用于大规模生物医学链接预测的基准框架。

最近，新颖的机器学习算法已经显示出预测生物医学知识网络中未发现的链接的潜力。但是，尚未出现用于衡量算法进度的专用基准。借助OpenBioLink，我们引入了大规模，高质量且极富挑战性的生物医学链接预测基准，以透明，可重复地评估此类算法。此外，我们提出了初步的基线评估结果。