Sandslash
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Abstract
Graph pattern mining (GPM) is a key building block in diverse applications, including bioinformatics, chemical engineering, social network analysis, recommender systems and security. Existing GPM frameworks either provide high-level interfaces for productivity at the cost of expressiveness or provide low-level interfaces that can express a wide variety of GPM algorithms at the cost of increased programming complexity. Moreover, existing systems lack the flexibility to explore combinations of optimizations to achieve performance competitive with hand-optimized applications.
Topics & Concepts
Computer scienceFlexibility (engineering)Key (lock)Variety (cybernetics)Block (permutation group theory)Recommender systemDistributed computingGraphSoftware engineeringTheoretical computer scienceArtificial intelligenceWorld Wide WebComputer securityMathematicsStatisticsGeometryGraph Theory and AlgorithmsWeb Data Mining and AnalysisData Mining Algorithms and Applications