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» A measure of similarity between graph vertices
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KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
WAIM
2010
Springer
13 years 5 months ago
Taming Computational Complexity: Efficient and Parallel SimRank Optimizations on Undirected Graphs
SimRank has been considered as one of the promising link-based ranking algorithms to evaluate similarities of web documents in many modern search engines. In this paper, we investi...
Weiren Yu, Xuemin Lin, Jiajin Le
GIS
2006
ACM
13 years 7 months ago
Qualitative polyline similarity testing with applications to query-by-sketch, indexing and classification
We present an algorithm for polyline (and polygon) similarity testing that is based on the double-cross formalism. To determine the degree of similarity between two polylines, the...
Bart Kuijpers, Bart Moelans, Nico Van de Weghe
SIROCCO
2010
13 years 8 months ago
Multipath Spanners
Abstract. This paper concerns graph spanners that approximate multipaths between pair of vertices of an undirected graphs with n vertices. Classically, a spanner H of stretch s for...
Cyril Gavoille, Quentin Godfroy, Laurent Viennot
DILS
2006
Springer
13 years 11 months ago
Link Discovery in Graphs Derived from Biological Databases
Public biological databases contain vast amounts of rich data that can also be used to create and evaluate new biological hypothesis. We propose a method for link discovery in biol...
Petteri Sevon, Lauri Eronen, Petteri Hintsanen, Ki...