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(In his work, Zhao happens to specialize in "large-distributed networks and systems, data mining and modeling, security and privacy, and wireless / mobile systems," with current projects focused on "querying, modeling and mining massive graphs, analysis of social networks and online communities, and wireless systems and protocols").
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Maximum weighted matchings represent a fundamental kernel in massive graph analysis and occur in a wide range of real-life applications.
We test the proposed heuristic on real-world massive graphs with millions of edges and vertices.
OBDD-based graph algorithms solve graph optimization problems by mainly using functional operations and are a heuristic approach to cope with massive graphs.
In this paper, we present a CPU-GPU local search heuristic for solving the MWCP on massive graphs.
Click through for the massive graph.
Visibility Graph Analysis.
This is an excellent lesson to include chart and graph analysis.
Among the top word pairs, according to a NodeXL Twitter graph analysis, were: hurricane and Katrina, Williams and fired, Brokaw and Brian, and Iraq and story.
Chemical graph analysis by using algebraic and metrical graph properties [55], [56], [57], [58].
This paper mainly deals with a challenging problem of quantitative graph analysis: Deriving bounds for the entropies of hierarchical graphs.
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