Claudia d'Amato

Negative sampling strategies in KGE can be significantly improved by a modular framework that adapts to contextual and structural nuances, rather than relying on basic random methods.

Unlock the potential of neurosymbolic AI: a new resource provides complete knowledge graph datasets with both schema and ground facts, enabling more realistic and robust evaluations.