40 citations · 47 across the 5 of their papers we have counts for
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cs.DB2023
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Xiaocan Zeng, Pengfei Wang, Yuren Mao +3
Entity Matching (EM), which aims to identify all entity pairs referring to the same real-world entity from relational tables, is one of the most important tasks in real-world data…
cs.DB2022★ 5 cited
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Pengfei Wang, Xiaocan Zeng, Lu Chen +4
Entity Matching (EM), which aims to identify whether two entity records from two relational tables refer to the same real-world entity, is one of the fundamental problems in data m…
cs.DB2022★ 40 cited
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Yunjun Gao, Xiaoze Liu, Junyang Wu +3
Entity alignment (EA) aims at finding equivalent entities in different knowledge graphs (KGs). Embedding-based approaches have dominated the EA task in recent years. Those methods…