Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
Authors: Ivan Diliso, Roberto Barile, Claudia d’Amato, Nicola Fanizzi Venue: ArXiv Preprint (2026)
Towards Semantically Enriched Knowledge Graph Embedding through Ontology Axiom Integration
Authors: Ivan Diliso
Venue: RuleML+RR Doctoral Consortium (2025)
🏆 Best Doctoral Award
Learning Interpretable Probabilistic Models and Schema Axioms for Knowledge Graphs
Authors: Ivan Diliso, Nicola Fanizzi, Claudia d’Amato Venue: RuleML+RR Main Track (2025)
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
Authors: Claudia d’Amato, Ivan Diliso, Nicola Fanizzi, Zafar Saeed Venue: ArXiv Preprint (2025)
A Hybrid Quantum–Classical Framework for Binary Classification in Online Learning
Authors: Corrado Loglisci, Ivan Diliso, Donato Malerba Venue: SEBD 2023 – 31st Symposium on Advanced Database Systems (2023)