Papers by Mohan Timilsina
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for probability calibration of knowledge graph embedding models are ill-suited for KGEs. |
| Approach: | They propose a method to calibrate knowledge graph embedding models for ranking-based link prediction using a Jump Selection Strategy and Multi-Binning Scaling to enhance reliability. |
| Outcome: | Experiments show that the KGEC outperforms existing calibration methods in terms of effectiveness and efficiency. |