YAGO 4.5 extends the YAGO 4 knowledge base by carefully incorporating a large part of the Wikidata taxonomy, while respecting logical constraints and the distinction between classes and instances. This results in a new, logically consistent version of YAGO that adds a rich layer of informative classes to the existing knowledge base.
Multi-task learning framework MulCanon enhances open knowledge base canonicalization by integrating clustering, diffusion model, KGE learning, and side information.