4 papers
Moose: Latent concept learning with reasoning-shortcut awareness in
Olga Mashkova, Asaad Mohammedsaleh, Fernando Zhapa-Camacho +1
The OWL 2 EL profile is used in some of the largest production ontologies, including the Gene Ontology and SNOMED CT. Existing neuro-symbolic (NeSy) learning methods accept proposi…
Fully Geometric Multi-Hop Reasoning on Knowledge Graphs with Transitive Relations
Fernando Zhapa-Camacho, Robert Hoehndorf
Multi-hop logical reasoning on knowledge graphs requires faithfully mapping the logical semantics to latent space. Current geometric embedding methods show to be useful on this tas…
INDIGENA: inductive prediction of disease-gene associations using phenotype ontologies
Fernando Zhapa-Camacho, Robert Hoehndorf
Motivation: Predicting gene-disease associations (GDAs) is the problem to determine which gene is associated with a disease. GDA prediction can be framed as a ranking problem where…
Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
Yasir Ghunaim, Robert Hoehndorf
Pre-training machine learning models on molecular properties has proven effective for generating robust and generalizable representations, which is critical for advancements in dru…