AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
Published:Dec 17, 2025 00:00
•1 min read
•Apple ML
Analysis
The article introduces AgREE, a novel approach to Knowledge Graph Completion (KGC) specifically designed to address the challenges posed by the constant emergence of new entities in open-domain knowledge graphs. Existing methods often struggle with unpopular or emerging entities due to their reliance on pre-trained models, pre-defined queries, or single-step retrieval, which require significant supervision and training data. AgREE aims to overcome these limitations, suggesting a more dynamic and adaptable approach to KGC. The focus on emerging entities highlights the importance of keeping knowledge graphs current and relevant.
Key Takeaways
- •AgREE is a novel approach for Knowledge Graph Completion.
- •It focuses on addressing the challenges of emerging entities.
- •Existing methods often struggle with up-to-date information on unpopular entities.
Reference
“Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially when considering the continual emergence of new entities in daily news.”