AutoG: A Visual Query Autocompletion Framework for Graph Databases
Summary: AutoG interactively completes visual subgraph queries over collections of small/medium graphs, returning top-k suggestions from partial query fragments. It targets schema-poor graph databases, enabling iterative, error-resistant query formulation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peipei Yi (Hong Kong Baptist University)
- 2. Byron Choi (Hong Kong Baptist University)
- 3. Sourav S Bhowmick (Nanyang Technological University)
- 4. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{yi_vldb16,
title = {{AutoG: A Visual Query Autocompletion Framework for Graph Databases}},
author = {Yi, Peipei and Choi, Byron and Bhowmick, Sourav S and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
doi = {10.14778/3007263.3007295},
url = {https://doi.org/10.14778/3007263.3007295},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,058 | C-Explorer: Browsing Communities in Large Graphs | 2017 | VLDB | 5.6106438e-05 |
| 7,985 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 5.4126006e-05 |
| 9,362 | Exploring Exploratory Querying | 2025 | VLDB | 5.1868213e-05 |
| 11,713 | Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries | 2023 | SIGMOD | 4.9793485e-05 |
| 12,118 | HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration | 2020 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 2,214 | Effective Phrase Prediction | 2007 | VLDB | 8.8195986e-05 |
| 3,116 | VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation | 2015 | VLDB | 7.6338057e-05 |
| 3,499 | iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques | 2010 | VLDB | 7.2549774e-05 |
| 7,038 | QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks | 2013 | SIGMOD | 5.6154989e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,068 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD |
| 2 | 4,977 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 3 | 13,707 | KGNav: A Knowledge Graph Navigational Visual Query System | 2023 | VLDB |
| 4 | 5,454 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |
| 5 | 7,985 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD |
| 6 | 9,043 | GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases | 2010 | SIGMOD |
| 7 | 4,466 | Schemaless and Structureless Graph Querying | 2014 | VLDB |
| 8 | 4,824 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 9 | 3,116 | VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation | 2015 | VLDB |
| 10 | 8,698 | AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases | 2020 | SIGMOD |