QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks
Summary: QUBLE extends the GUI-driven, interleaved visual subgraph querying paradigm to large networks, enabling simultaneous formulation and processing to cut system response time. It moves beyond small/medium-graph fragment indexing to scalable techniques for large graphs, demonstrating promising performance and new features. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ho Hoang Hung (Nanyang Technological University)
- 2. Sourav S Bhowmick (Nanyang Technological University; Singapore-Massachusetts Institute of Technology Alliance)
- 3. Ba Quan Truong (Nanyang Technological University; Singapore-Massachusetts Institute of Technology Alliance)
- 4. Byron Choi (Hong Kong Baptist University)
- 5. Shuigeng Zhou (Fudan University)
BibTeX Citation
@inproceedings{hung_sigmod13,
title = {{QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks}},
author = {Hung, Ho Hoang and Bhowmick, Sourav S and Truong, Ba Quan and Choi, Byron and Zhou, Shuigeng},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463681},
url = {https://dl.acm.org/doi/10.1145/2463676.2463681},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,056 | VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation | 2015 | VLDB | 7.8075329e-05 |
| 7,472 | AutoG: A Visual Query Autocompletion Framework for Graph Databases | 2016 | VLDB | 5.6093965e-05 |
| 11,774 | BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks | 2020 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,650 | TreeSpan: Efficiently Computing Similarity All-Matching | 2012 | SIGMOD | 8.2920414e-05 |
| 4,749 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR | 6.5250721e-05 |
| 5,945 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD | 6.0326529e-05 |
| 8,884 | GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases | 2010 | SIGMOD | 5.3514928e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,370 | Diversified Top-k Subgraph Querying in a Large Graph | 2016 | SIGMOD |
| 2 | 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD |
| 3 | 8,162 | Query Mesh: Multi-Route Query Processing Technology | 2009 | VLDB |
| 4 | 7,281 | A General-Purpose Query-Centric Framework for Querying Big Graphs | 2016 | VLDB |
| 5 | 10,088 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB |
| 6 | 9,704 | Quegel: A General-Purpose System for Querying Big Graphs | 2016 | SIGMOD |
| 7 | 11,774 | BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks | 2020 | SIGMOD |
| 8 | 4,749 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 9 | 8,884 | GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases | 2010 | SIGMOD |
| 10 | 5,945 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD |