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

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Jinlong Tian, Shixuan Liu, Ruochun Jin, Mengmeng Li, Yanfang Zhou, Xinhai Xu, Yuhua Tang

Published: 01 Jan 2026, Last Modified: 12 Oct 2025Inf. Process. Manag. 2026EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We introduce TEA, a framework for learning embeddings from tabular data.•Our TEA framework models complex structural and semantic relationships efficiently.•TEA shows superior efficiency and effectiveness on schema matching/entity resolution.