250 citations · 277 across the 10 of their papers we have counts for
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Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Susana Nunes, Samy Badreddine, Catia Pesquita
Knowledge graphs (KGs) are powerful tools for modelling complex, multi-relational data and supporting hypothesis generation, particularly in applications like drug repurposing. How…
Unifying Post-hoc Explanations of Knowledge Graph Completions
Alessandro Lonardi, Samy Badreddine, Tarek R. Besold +1
Knowledge Graphs organize information as entity-relation-entity triples, enabling machine learning models to predict plausible missing triples in a task known as Knowledge Graph Co…
On the Theoretical Limitations of Embedding-based Link Prediction
Samy Badreddine, Emile van Krieken, Luciano Serafini
Neural networks often map low-dimensional embeddings to high-dimensional output spaces. Usually, the output layer is linear, which can create a "rank bottleneck" that limits the fu…