AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases
Summary: Data-driven construction of visual graph query interfaces for graph databases. AURORA automatically generates GUI components from a repository of small- to medium-sized graphs, enabling portable, data-aware subgraph query interfaces and easier exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sourav S Bhowmick (Nanyang Technological University)
- 2. Kai Huang (Fudan University; Nanyang Technological University)
- 3. Huey Eng Chua (Nanyang Technological University)
- 4. Byron Choi (Hong Kong Baptist University)
- 5. Shuigeng Zhou (Fudan University)
- 6. Zifeng Yuan (Fudan University; Nanyang Technological University)
BibTeX Citation
@inproceedings{bhowmick_sigmod20,
title = {{AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases}},
author = {Bhowmick, Sourav S and Huang, Kai and Chua, Huey Eng and Choi, Byron and Zhou, Shuigeng and Yuan, Zifeng},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384681},
url = {https://dl.acm.org/doi/10.1145/3318464.3384681},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB | 5.5327238e-05 |
| 11,840 | CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation | 2019 | SIGMOD | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,840 | CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation | 2019 | SIGMOD |
| 2 | 12,075 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB |
| 3 | 5,945 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD |
| 4 | 8,884 | GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases | 2010 | SIGMOD |
| 5 | 4,749 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 6 | 10,088 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB |
| 7 | 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD |
| 8 | 6,463 | Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future | 2022 | SIGMOD |
| 9 | 7,472 | AutoG: A Visual Query Autocompletion Framework for Graph Databases | 2016 | VLDB |
| 10 | 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB |