Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks
Summary: Proposes EmbDI, local relational embeddings learned from a compact graph-based representation for data integration. Derives sentences from the graph to express similarity across tokens, attributes, and rows, aiding schema matching and entity resolution. (summarized by gpt-5-nano on Feb 09 2026)
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