AutoG: a visual query autocompletion framework for graph databases

Author:

Yi PeipeiORCID,Choi Byron,Bhowmick Sourav S.,Xu Jianliang

Funder

Research Grants Council, University Grants Committee

Ministry of Education - Singapore

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cognitive Psychology Meets Data Management: State of the Art and Future Directions;Companion of the 2024 International Conference on Management of Data;2024-06-09

2. Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

3. Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries;Proceedings of the ACM on Management of Data;2023-06-13

4. Natural language querying of process execution data;Information Systems;2023-06

5. Sequence Graph-Based Query Auto-Suggestion (SGQAS);Advances in Business Information Systems and Analytics;2023-05-26

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