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» Significance-Driven Graph Clustering
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92
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CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 18 days ago
Double Clustering and Graph Navigability
Graphs are called navigable if one can find short paths through them using only local knowledge. It has been shown that for a graph to be navigable, its construction needs to mee...
Oskar Sandberg
95
Voted
SAC
2009
ACM
15 years 7 months ago
Visualization of clustered directed acyclic graphs with node interleaving
Graph drawing and visualization represent structural information ams of abstract graphs and networks. An important subset of graphs is directed acyclic graphs (DAGs). E-Spring alg...
Pushpa Kumar, Kang Zhang
115
Voted
CVPR
2011
IEEE
14 years 4 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
KAIS
2011
129views more  KAIS 2011»
14 years 7 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
90
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COMBINATORICS
2004
74views more  COMBINATORICS 2004»
15 years 14 days ago
Enumerative Problems Inspired by Mayer's Theory of Cluster Integrals
The basic functional equations for connected and 2-connnected graphs can be traced back to the statistical physicists Mayer and Husimi. They play an essential role in establishing...
Pierre Leroux