Title
Visual Graph Query Construction and Refinement.
Abstract
Locating and extracting subgraphs from large network datasets is a challenge in many domains, one that often requires learning new querying languages. We will present the first demonstration of VISAGE, an interactive visual graph querying approach that empowers analysts to construct expressive queries, without writing complex code (see our video: https://youtu.be/l2L7Y5mCh1s). VISAGE guides the construction of graph queries using a data-driven approach, enabling analysts to specify queries with varying levels of specificity, by sampling matches to a query during the analyst's interaction. We will demonstrate and invite the audience to try VISAGE on a popular film-actor-director graph from Rotten Tomatoes.
Year
DOI
Venue
2017
10.1145/3035918.3056418
SIGMOD Conference
Keywords
Field
DocType
Graph querying,interactive querying,query construction
Data mining,Graph,Graph database,Computer science,Theoretical computer science,Sampling (statistics),Database
Conference
Citations 
PageRank 
References 
7
0.42
11
Authors
7
Name
Order
Citations
PageRank
Robert Pienta11347.88
Fred Hohman216212.40
Acar Tamersoy316111.04
Alex Endert497452.18
Shamkant Navathe545632112.44
Hanghang Tong63560202.37
Duen Horng Chau7126086.87