BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs

1 code implementation • 6 Jun 2023 • Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth

We train models using a biomedical KG containing approximately 2 million triples, and evaluate the performance of the resulting entity embeddings on the tasks of link prediction, and drug-protein interaction prediction, comparing against methods that do not take attribute data into account.

Attribute Entity Embeddings +2