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ICML
2010
IEEE
13 years 10 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
11 years 11 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
PVLDB
2010
129views more  PVLDB 2010»
13 years 7 months ago
iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...
ICS
1998
Tsinghua U.
14 years 1 months ago
Techniques for Empirical Testing of Parallel Random Number Generators
Parallel computers are now commonly used for computational science and engineering, and many applications in these areas use random number generators. For some applications, such ...
Paul D. Coddington, Sung Hoon Ko
COLT
2004
Springer
14 years 2 months ago
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...