AutoG: A Visual Query Autocompletion Framework for Graph Databases
Summary: AutoG: a novel interactive visual subgraph query autocompletion framework for graph databases. Leverages a corpus of small/medium graphs to return top-k visual-subgraph query suggestions for a user-provided fragment, enabling iterative refinement and easing missing/loose schemas. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peipei Yi
- 2. Byron Choi
- 3. Sourav S Bhowmick
- 4. Jianliang Xu
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,978 | C-Explorer: Browsing Communities in Large Graphs | 2017 | VLDB | 4.8752317e-05 |
| 7,775 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 4.653773e-05 |
| 10,860 | Exploring Exploratory Querying | 2025 | VLDB | 4.1945683e-05 |
| 11,196 | Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries | 2023 | SIGMOD | 4.1945683e-05 |
| 11,621 | HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration | 2020 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 2,232 | Effective Phrase Prediction | 2007 | VLDB | 9.2293508e-05 |
| 3,202 | VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation | 2015 | VLDB | 7.3911717e-05 |
| 3,720 | iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques | 2010 | VLDB | 6.8192237e-05 |
| 6,313 | QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks | 2013 | SIGMOD | 5.1158493e-05 |
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