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PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases

Summary: PICASSO enables exploratory substructure search on graph databases with progressive, iterative query formulation. A multi-stream results exploration wall visualizes, explores, and guides search directions on small/medium graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11471
Venue
VLDB
Year
2017
Pagerank
5.5235453e-05
Overall Rank
5,410 | 62.37%
DOI
-

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Showing 7 of 7 citing papers.

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Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,180 Efficient Subgraph Matching by Postponing Cartesian Products 2016 SIGMOD 0.00013456907
1,552 Overview of Data Exploration Techniques 2015 SIGMOD 0.00011408814
4,072 Performance and Scalability of Indexed Subgraph Query Processing Methods 2015 VLDB 6.4727847e-05
5,839 Exploratory Querying of Extended Knowledge Graphs 2016 VLDB 5.3044504e-05
6,206 GBLENDER: Visual Subgraph Query Formulation Meets Query Processing 2011 SIGMOD 5.1574851e-05
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