Publication | Closed Access
GraphBIG
172
Citations
29
References
2015
Year
Unknown Venue
Cluster ComputingNetwork ScienceGraph TheoryData ScienceEngineeringGraph FrameworksFull-spectrum Graph ComputingNetwork AnalysisGraph ComputingGraph Signal ProcessingGraph DatabaseComputer ScienceParallel ComputingGraph AnalysisGraph AlgorithmGraph ProcessingBig Data
With the emergence of data science, graph computing is becoming a crucial tool for processing big connected data. Although efficient implementations of specific graph applications exist, the behavior of full-spectrum graph computing remains unknown. To understand graph computing, we must consider multiple graph computation types, graph frameworks, data representations, and various data sources in a holistic way.
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