Jul 25, 2024 · In this paper, we propose to conceptualize relation alignment as an independent task and conduct KGA by decomposing it into two distinct but highly correlated ...

Jul 25, 2024 · Experimental results on real-world datasets demonstrate that EREM consistently outperforms state-of-the-art models in both entity alignment and ...

In this paper, we propose to conceptualize relation alignment as an independent task and conduct KGA by decomposing it into two distinct but highly correlated ...

Title: Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy. · Authors: Xiaohan Fang, Chaozhuo Li 0001, Yi Zhao, Qian ...

Jul 25, 2024 · This paper presents a novel approach for complete knowledge graph alignment that goes beyond just entity alignment by leveraging the synergy between entities ...

Knowledge Graph Alignment (KGA) aims to integrate knowledge from multiple sources to address the limitations of individual Knowledge Graphs (KGs) ...

Knowledge Graph Alignment (KGA) aims to integrate knowledge from multiple sources to address the limitations of individual Knowledge Graphs (KGs) in terms ...

Entity alignment (EA) is to identify equivalent entities across different knowledge graphs (KGs), which can help fuse these KGs into a more comprehensive one.

Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy. X Fang, C Li, Y Zhao, Q Zang, L Zhang, J Peng, X Zhang, J ...

Jul 24, 2024 · 知识图谱对齐（KGA）旨在整合来自多个来源的知识，以解决单个知识图谱（KGs）在覆盖范围和深度方面的局限性。然而，目前的KGA模型在实现“完全”的知识图谱 ...