Text2Cypher: Bridging Natural Language and Graph Databases

Towards complex text-to-sql in cross-domain database with intermediate representation

Original

Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019 · 1905

Earlier work this paper cites.

Juice: A large scale distantly supervised dataset for open domain context-based code generation

Original

Rajas Agashe, Srinivasan Iyer, and Luke Zettlemoyer. 2019 · 1910

Earlier work this paper cites.

Compositional semantic parsing on semi-structured tables

Original

Panupong Pasupat and Percy Liang. 2015 · 2015

Earlier work this paper cites.

Use of graph database for the integration of heterogeneous biological data

Byoung-Ha Yoon, Seon-Kyu Kim, and Seon-Young Kim. 2017 · 2017

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Amazon neptune: Graph data management in the cloud

Bradley R Bebee, Daniel Choi, Ankit Gupta, Andi Gutmans, Ankesh Khandelwal, Yigit Kiran, Sainath Mallidi, Bruce McGaughy, Mike Personick, Karthik Rajan, et al. 2018 · 2018

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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Original

Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, et al. 2018 · 2018

Earlier work this paper cites.

Variational reasoning for question answering with knowledge graph

Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J Smola, and Le Song. 2018 · 2018

Earlier work this paper cites.

Evaluating large language models trained on code

Original

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021

Earlier work this paper cites.

From zero to hero: generating training data for question-to-cypher models

Dominik Opitz and Nico Hochgeschwender. 2022 · 2022

Earlier work this paper cites.

Training language models to follow instructions with human feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022

Earlier work this paper cites.

Evaluating the text-to-sql capabilities of large language models

Original

Nitarshan Rajkumar, Raymond Li, and Dzmitry Bahdanau. 2022 · 2022

Cited alongside, same era.

Nebula graph: An open source distributed graph database

Original

Min Wu, Xinglu Yi, Hui Yu, Yu Liu, and Yujue Wang. 2022 · 2022

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Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking

Original

Jiayan Guo, Lun Du, Hengyu Liu, Mengyu Zhou, Xinyi He, and Shi Han. 2023 · 2023

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Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql

Haoyang Li, Jing Zhang, Cuiping Li, and Hong Chen. 2023 · 2023

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Lever: Learning to verify language-to-code generation with execution

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida Wang, and Xi Victoria Lin. 2023 · 2023

Gql database languages

ISO/IEC 39075:2024 Information Technology – Database languages – GQL. 2024 · 2024

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Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, et al. 2024 · 2024

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Graph database vs relational database

Memgraph. 2024 · 2024

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Neo4j graph database

Neo4j. 2024 · 2024

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Neo4jlabs datasets

Neo4jLabs. 2024 · 2024

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Semanticparser4graph datasets

SemanticParser4Graph. 2024 · 2024

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