2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
Rui Zhang, Yixin Su, Bayu Distiawan Trisedya +4
The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…
cs.CL2022★ 1 cited
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs
Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya +3
The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…
cs.DS2021★ 2 cited
Revisiting -Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses
Liu Yingfan, Cheng Hong, Cui Jiangtao
The -nearest neighbor graph (KNNG) on high-dimensional data is a data structure widely used in many applications such as similarity search, dimension reduction and clustering. D…