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SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 4 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
CAIP
2009
Springer
155views Image Analysis» more  CAIP 2009»
15 years 11 months ago
Algorithms for the Sample Mean of Graphs
Measures of central tendency for graphs are important for protoype construction, frequent substructure mining, and multiple alignment of protein structures. This contribution propo...
Brijnesh J. Jain, Klaus Obermayer
AIMS
2007
Springer
15 years 10 months ago
Graph Models of Critical Infrastructure Interdependencies
Critical infrastructures are interconnected on multiple levels, and due to their size models with acceptable computational complexity and adequate modeling capacities must be devel...
Nils Kalstad Svendsen, Stephen D. Wolthusen
UAI
2004
15 years 5 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
MICS
2010
134views more  MICS 2010»
15 years 2 months ago
Scale Free Properties of Random k-Trees
Scale free graphs have attracted attention as their non-uniform structure that can be used as a model for many social networks including the WWW and the Internet. In this paper, w...
Colin Cooper, Ryuhei Uehara