Publication | Closed Access
Fast best-effort pattern matching in large attributed graphs
255
Citations
21
References
2007
Year
Unknown Venue
Job TitleEngineeringLarge GraphsNetwork AnalysisComputational ComplexityGraph DatabaseSocial NetworkGraph MatchingGraph ProcessingBest-effort PatternInformation RetrievalData ScienceData MiningGraph Query LanguageCombinatorial OptimizationSocial Network AnalysisKnowledge DiscoveryComputer ScienceGraph AlgorithmNetwork ScienceGraph TheoryCombinatorial Pattern MatchingBusinessGraph Analysis
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find subgraphs that match a user query pattern. For example, a "star" query would be, "find a CEO who has strong interactions with a Manager, a Lawyer,and an Accountant, or another structure as close to that as possible". Similarly, a "loop" query could help spot a money laundering ring.
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