2 papers
cs.AI2026
Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs
Ivan Diliso, Roberto Barile, Claudia d'Amato +1
Datasets for the experimental evaluation of knowledge graph refinement algorithms typically contain only ground facts, retaining very limited schema level knowledge even when such…
cs.LG2025
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
Claudia d'Amato, Ivan Diliso, Nicola Fanizzi +1
Embedding methods have become popular due to their scalability on link prediction and/or triple classification tasks on Knowledge Graphs. Embedding models are trained relying on bo…