Visual Graph Query Construction and Refinement
Summary: Visage: first demonstration of interactive, visual graph query construction without coding. A data-driven, match-sampling workflow lets analysts iteratively refine subgraph queries with varying specificity on large networks (e.g., Rotten Tomatoes film-actor-director graph). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Robert Pienta (Georgia Institute of Technology)
- 2. Fred Hohman (Georgia Institute of Technology)
- 3. Acar Tamersoy (Georgia Institute of Technology)
- 4. Alex Endert (Georgia Institute of Technology)
- 5. Shamkant Navathe (Georgia Institute of Technology)
- 6. Hanghang Tong (Arizona State University)
- 7. Duen Horng Chau (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{pienta_sigmod17,
title = {{Visual Graph Query Construction and Refinement}},
author = {Pienta, Robert and Hohman, Fred and Tamersoy, Acar and Endert, Alex and Navathe, Shamkant and Tong, Hanghang and Chau, Duen Horng},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3056418},
url = {https://dl.acm.org/doi/10.1145/3035918.3056418},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 235 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB | 0.00023701614 |
| 6,445 | X2Q: Your Personal Example-based Graph Explorer | 2018 | VLDB | 5.7666211e-05 |
| 6,578 | Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future | 2022 | SIGMOD | 5.7253513e-05 |
| 6,829 | BOOMER: Blending Visual Formulation and Processing of P-Homomorphic Queries on Large Networks | 2018 | SIGMOD | 5.6556888e-05 |
| 7,000 | Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Selection of Canned Patterns for Large Networks | 2021 | VLDB | 5.6080933e-05 |
| 11,765 | Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries | 2023 | SIGMOD | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,843 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR | 6.3731613e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,071 | GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases | 2010 | SIGMOD |
| 2 | 13,752 | KGNav: A Knowledge Graph Navigational Visual Query System | 2023 | VLDB |
| 3 | 9,699 | ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations | 2018 | VLDB |
| 4 | 4,843 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 5 | 3,126 | VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation | 2015 | VLDB |
| 6 | 8,021 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB |
| 7 | 5,003 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 8 | 6,578 | Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future | 2022 | SIGMOD |
| 9 | 10,337 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB |
| 10 | 8,005 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD |