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Efficient Table Embeddings via Self-Supervised Structural-Semantic Graph Autoencoder

delete2025-08-01
delete0
PRE
AI
J
Jinlong Tian
S
Shixuan Liu
R
Ruochun Jin
M
Mengmeng Li
Y
Yanfang Zhou
X
Xinhai Xu *
Y
Yuhua Tang *
DOI：10.1016/j.ipm.2025.104298delete
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摘要

摘要

En 中文
• 我们介绍TEA，一个从表格数据中学习嵌入的框架。 • 我们的TEA框架能够高效地建模复杂结构和语义关系。 • TEA在模式匹配/实体解析方面表现出卓越的效率和有效性。
Keyword:
Table embedding
Schema matching
Entity resolution

期刊

I
Information Processing and Management
IF:
6.9
论文数:
5.2K
被引数:
1.4W

机构

N
National University of Defense Technology
学者数:
3.3K
论文数: 1.0K
被引数: 8.2K
A
Academy of Military Sciences
学者数:
156
论文数: 54
被引数: 0
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