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» Spectral Techniques in Graph Algorithms
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ICML
2010
IEEE
13 years 11 months ago
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
Frank Lin, William W. Cohen
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 11 months ago
TALE: A Tool for Approximate Large Graph Matching
Abstract-- Large graph datasets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of informati...
Yuanyuan Tian, Jignesh M. Patel
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 10 months ago
Probabilistic regular graphs
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extensio...
Nathalie Bertrand, Christophe Morvan
CPC
2006
93views more  CPC 2006»
13 years 10 months ago
Generating Outerplanar Graphs Uniformly at Random
We show how to generate labeled and unlabeled outerplanar graphs with n vertices uniformly at random in polynomial time in n. To generate labeled outerplanar graphs, we present a c...
Manuel Bodirsky, Mihyun Kang
CORR
2008
Springer
153views Education» more  CORR 2008»
13 years 10 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...