GRAPHITE: A visual query system for large graphs

Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Scopus citations

Abstract

We present Graphite, a system that allows the user to visually construct a query pattern, finds both its exact and approximate matching subgraphs in large attributed graphs, and visualizes the matches. For example, in a social network where a person's occupation is an attribute, the user can draw a'star' query for "finding a CEO who has interacted with a Secretary, a Manager, and an Accountant, or a structure very similar to this". Graphite uses the G-Ray algorithm to run the query against a user-chosen data graph, gaining all of its benefits, namely its high speed, scalability, and its ability to find both exact and near matches. Therefore, for the example above, Graphite tolerates indirect paths between, say, the CEO and the Accountant, when no direct path exists. Graphite uses fast algorithms to estimate node proximities when finding matches, enabling it to scale well with the graph database size. We demonstrate Graphite's usage and benefits using the DBLP author-publication graph, which consists of 356K nodes and 1.9M edges. A demo video of Graphite can be downloaded at http://www.cs.cmu.edu/~dchau/graphite/graphite.mov.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
Pages963-966
Number of pages4
DOIs
StatePublished - 2008
EventIEEE International Conference on Data Mining Workshops, ICDM Workshops 2008 - Pisa, Italy
Duration: Dec 15 2008Dec 19 2008

Publication series

NameProceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008

Other

OtherIEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
CountryItaly
CityPisa
Period12/15/0812/19/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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