A new neural architecture, DBFORMER, applies Transformer self-attention within rows and cross-attention across foreign-key-linked rows, and reports superior average performance over a wide relational database benchmark suite.
Transformers for tabular data representation: A survey of models and applications,
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Transformers Meet Relational Databases
A new neural architecture, DBFORMER, applies Transformer self-attention within rows and cross-attention across foreign-key-linked rows, and reports superior average performance over a wide relational database benchmark suite.