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» Graph Matching using Adjacency Matrix Markov Chains
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WWW
2005
ACM
14 years 6 months ago
TotalRank: ranking without damping
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...
Paolo Boldi
STOC
2010
ACM
269views Algorithms» more  STOC 2010»
13 years 10 months ago
Approximations for the Isoperimetric and Spectral Profile of Graphs and Related Parameters
The spectral profile of a graph is a natural generalization of the classical notion of its Rayleigh quotient. Roughly speaking, given a graph G, for each 0 < < 1, the spect...
Prasad Raghavendra, David Steurer and Prasad Tetal...
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 3 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki