250 citations · 277 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
ULLER: A Unified Language for Learning and Reasoning
Emile van Krieken, Samy Badreddine, Robin Manhaeve +1
The field of neuro-symbolic artificial intelligence (NeSy), which combines learning and reasoning, has recently experienced significant growth. There now are a wide variety of NeSy…
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
Samy Badreddine, Luciano Serafini, Michael Spranger
The AI community is increasingly focused on merging logic with deep learning to create Neuro-Symbolic (NeSy) paradigms and assist neural approaches with symbolic knowledge. A signi…
Interval Logic Tensor Networks
Samy Badreddine, Gianluca Apriceno, Andrea Passerini +1
In this paper, we introduce Interval Real Logic (IRL), a two-sorted logic that interprets knowledge such as sequential properties (traces) and event properties using sequences of r…
Logic Tensor Networks
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini +1
Artificial Intelligence agents are required to learn from their surroundings and to reason about the knowledge that has been learned in order to make decisions. While state-of-the-…