PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models
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 perspectives. In this demo, we present PROBE-Web, an interactive system for probing diverse evaluation landscapes for KGC models. PROBE-Web enables users to flexibly evaluate KGC models by adjusting two critical perspectives: (P1) predictive sharpness and (P2) popularity-bias robustness. Through a user-friendly GUI, users easily evaluate multiple KGC models and analyze their strengths and weaknesses. PROBE-Web provides four key functionalities: (1) conventional evaluation toolkit, (2) flexible perspective-aware evaluat...
| Authors | Sooho Moon, Yunyong Ko |
|---|---|
| Primary category | cs.LG |
| Published | 8 June 2026 |
| Last updated at source | 21 August 2026 |
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