← authors · overview

• Fast and scalable learning of neuro-symbolic representations of biomedical knowledge
  2018
• OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
  2019
• Post-hoc explanation of black-box classifiers using confident itemsets
  2020
• Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
  2020
• Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
  2020
• SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
  2021
• A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
  2021