2 papers
cs.LG2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
Zhenyu Qian, Yiming Qian, Yuting Song +4
Handling graph data is one of the most difficult tasks. Traditional techniques, such as those based on geometry and matrix factorization, rely on assumptions about the data relatio…
cs.CL2023
Unsupervised Deep Cross-Language Entity Alignment
Chuanyu Jiang, Yiming Qian, Lijun Chen +2
Cross-lingual entity alignment is the task of finding the same semantic entities from different language knowledge graphs. In this paper, we propose a simple and novel unsupervised…