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» Reweighted Random Walks for Graph Matching
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CVPR
2012
IEEE
11 years 10 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
INFOCOM
2010
IEEE
13 years 7 months ago
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in this paper is to obtain a representative (unbiased...
Minas Gjoka, Maciej Kurant, Carter T. Butts, Athin...
ICALP
2009
Springer
14 years 7 months ago
Tight Bounds for the Cover Time of Multiple Random Walks
We study the cover time of multiple random walks. Given a graph G of n vertices, assume that k independent random walks start from the same vertex. The parameter of interest is the...
Robert Elsässer, Thomas Sauerwald
ICPR
2006
IEEE
14 years 8 months ago
A Convolution Edit Kernel for Error-tolerant Graph Matching
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
Horst Bunke, Michel Neuhaus
BMVC
2001
13 years 10 months ago
Graph Matching using Adjacency Matrix Markov Chains
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
Antonio Robles-Kelly, Edwin R. Hancock