2 papers
cs.DB2025
An Efficient Proximity Graph-based Approach to Table Union Search
Yiming Xie, Hua Dai, Mingfeng Jiang +3
Neural embedding models are extensively employed in the table union search problem, which aims to find semantically compatible tables that can be merged with a given query table. I…
cs.DB2025
VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search
Xiaoyao Zhong, Haotian Li, Jiabao Jin +11
Approximate nearest neighbor search (ANNS) is a fundamental problem in vector databases and AI infrastructures. Recent graph-based ANNS algorithms have achieved high search accurac…