AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases
Author:
Affiliation:
1. Nanyang Technological University, Singapore, Singapore
2. Nanyang Technological University & Fudan University, Singapore, Singapore
3. Hong Kong Baptist University, Hong Kong, Hong Kong
4. Fudan University, Shanghai, China
Funder
Ministry of Education - Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3318464.3384681
Reference9 articles.
1. Data-driven visual graph query interface construction and maintenance
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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. FRESH: Towards Efficient Graph Queries in an Outsourced Graph;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines;Proceedings of the VLDB Endowment;2023-08
4. 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
5. TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database;Proceedings of the ACM on Management of Data;2023-05-26
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