2 papers
cs.CL2026
Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate
Cunda Wang, Ziying Ma, Po Hu +2
Entity alignment (EA) aims to identify entities referring to the same real-world object across different knowledge graphs (KGs). Recent approaches based on large language models (L…
cs.CL2024
Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
Cunda Wang, Weihua Wang, Qiuyu Liang +2
Entity alignment aims to match identical entities across different knowledge graphs (KGs). Graph neural network-based entity alignment methods have achieved promising results in Eu…