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VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation

Summary: VIIQ is an interactive, iterative visual interface for constructing query graphs over heterogeneous, schema-less data. Edge-suggestion guides exact edge/vertex labeling toward user intent; the demo highlights features, the algorithm, and a scenario. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11087
Venue
VLDB
Year
2015
Pagerank
7.3911717e-05
Overall Rank
3,202 | 77.73%
DOI
-

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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
257 Making Database Systems Usable 2007 SIGMOD 0.00030223397
1,285 Neighborhood Based Fast Graph Search in Large Networks 2011 SIGMOD 0.00012833377
1,958 Exemplar Queries: Give me an Example of What You Need 2014 VLDB 9.9572632e-05
6,313 QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks 2013 SIGMOD 5.1158493e-05
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