🔗 Who cites «Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing»

62 papers of our library cite it (of the 140,884 whose bibliographies we read) · 5 with a page here, the most cited first · ← the paper

1. TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataPengcheng Yin, Graham Neubig, Wen-tau Yih, et al.2020 · 690 citations
2. Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic ParsingXi Victoria Lin, Richard Socher, Caiming Xiong2020 · 261 citations
3. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesTao Yu, Rui Zhang, Heyang Er, et al.2019 · 261 citations
4. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL ParsersBailin Wang, Richard Shin, Xiaodong Liu, et al.2020 · 239 citations
5. DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL DatasetLijie Wang, Ao Zhang, Kun Wu, et al.2020 · 63 citations

57 more papers of our library cite it; they have no page here yet.

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