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Visual Graph Query Construction and Refinement
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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
doi:10.1145/3035918.3056418
dblp:conf/sigmod/PientaHTENTC17
fatcat:u3uuscj4zrcijd3ingslemjp6y