VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation
Summary: VIIQ is a visual, iterative interface for formulating heterogeneous-graph queries by interactively constructing query graphs. Its distinctive edge-suggestion mechanism recommends labels relevant to the user’s evolving intent, addressing schema/label selection challenges. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nandish Jayaram (University of Texas)
- 2. Sidharth Goyal (University of Texas)
- 3. Chengkai Li (University of Texas)
BibTeX Citation
@article{jayaram_vldb15,
title = {{VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation}},
author = {Jayaram, Nandish and Goyal, Sidharth and Li, Chengkai},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1940},
doi = {10.14778/2824032.2824106},
url = {https://doi.org/10.14778/2824032.2824106},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,303 | X2Q: Your Personal Example-based Graph Explorer | 2018 | VLDB | 5.9213518e-05 |
| 6,463 | Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future | 2022 | SIGMOD | 5.871484e-05 |
| 6,935 | C-Explorer: Browsing Communities in Large Graphs | 2017 | VLDB | 5.7350034e-05 |
| 7,472 | AutoG: A Visual Query Autocompletion Framework for Graph Databases | 2016 | VLDB | 5.6093965e-05 |
| 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 5.5332653e-05 |
| 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB | 5.5327238e-05 |
| 8,206 | Mining Top-k Pairs of Correlated Subgraphs in a Large Network | 2020 | VLDB | 5.4666548e-05 |
| 11,398 | Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries | 2023 | SIGMOD | 5.093636e-05 |
| 11,854 | Answering Why-questions by Exemplars in Attributed Graphs | 2019 | 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 |
|---|---|---|---|---|
| 314 | Making Database Systems Usable | 2007 | SIGMOD | 0.00021574636 |
| 1,394 | Neighborhood Based Fast Graph Search in Large Networks | 2011 | SIGMOD | 0.0001093153 |
| 1,897 | Exemplar Queries: Give me an Example of What You Need | 2014 | VLDB | 9.5243334e-05 |
| 6,895 | QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks | 2013 | SIGMOD | 5.7442637e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,429 | Visual Graph Query Construction and Refinement | 2017 | SIGMOD |
| 2 | 13,393 | KGNav: A Knowledge Graph Navigational Visual Query System | 2023 | VLDB |
| 3 | 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB |
| 4 | 3,604 | SLQ: A User-friendly Graph Querying System | 2014 | SIGMOD |
| 5 | 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD |
| 6 | 11,320 | VQFT: A Visual Query Approach Based on Full-Text Search for Knowledge Graphs | 2024 | VLDB |
| 7 | 4,749 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 8 | 7,472 | AutoG: A Visual Query Autocompletion Framework for Graph Databases | 2016 | VLDB |
| 9 | 6,463 | Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future | 2022 | SIGMOD |
| 10 | 10,088 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB |