An Experimental Study of State-of-the-Art Entity Alignment Approaches

IEEE Transactions on Knowledge and Data Engineering(2022)

引用 102|浏览302
暂无评分
摘要
Entity alignment (EA) finds equivalent entities that are located in different knowledge graphs (KGs), which is an essential step to enhance the quality of KGs, and hence of significance to downstream applications (e.g., question answering and recommendation). Recent years have witnessed a rapid increase of EA approaches, yet the relative performance of them remains unclear, partly due to the incom...
更多
查看译文
关键词
Task analysis,Erbium,Robustness,Mirrors,Benchmark testing,Training,Natural languages
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要