3 papers
cs.LG2026
PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models
Sooho Moon, Yunyong Ko
Knowledge graph completion (KGC) models are commonly evaluated using rank-based metrics such as MRR and Hits@K, despite different users often requiring different evaluation perspec…
cs.LG2026
Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and Analyses
Sooho Moon, Jian Kang, Yunyong Ko
Knowledge graph completion (KGC) aims to predict missing facts from an observed knowledge graph (KG), playing a crucial role in a wide range of real-world applications such as drug…
cs.AI2025
How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion
Sooho Moon, Yunyong Ko
Knowledge graph completion (KGC) aims to predict missing facts from the observed KG. While a number of KGC models have been studied, the evaluation of KGC still remain underexplore…