multi-hop reasoning 1reachability estimation 1reinforcement learning 1self-supervised pretraining 1temporal knowledge graphs 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
Chien-Liang Liu, Tsao-Lun Chen
The paper introduces RAPTOR, a self‑supervised pretraining technique that estimates the reachability of actions to a target entity, improving exploration efficiency and performance…
cs.LG2026
USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
Tsao-Lun Chen, Chien-Liang Liu, Tzu-Ming Harry Hsu +4
In this study, a novel idea, Uncertainty Structure Estimation (USE), a lightweight, algorithm-agnostic procedure that emphasizes the often-overlooked role of unlabeled data quality…
cs.CV2025
Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study
Yin-Chih Chelsea Wang, Tsao-Lun Chen, Shankeeth Vinayahalingam +13
Dental panoramic radiographs (DPRs) are widely used in clinical practice for comprehensive oral assessment but present challenges due to overlapping structures and time constraints…