microsoft/rat-sql

Implements schema-aware graph neural networks to encode database relations and column linkages, enabling better handling of complex multi-table queries. Supports both GloVe and BERT embeddings for encoding natural language questions, with preprocessing via Stanford CoreNLP. Benchmarked on Spider and WikiSQL datasets with reproducible experiment configs using Jsonnet for flexible model configuration.

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