Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

1 code implementation • 10 Dec 2020 • Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald

SAFRAN yields new state-of-the-art results for fully interpretable link prediction on the established general-purpose benchmark FB15K-237 and the large-scale biomedical benchmark OpenBioLink.

Clustering Knowledge Graphs +1