1082 search results - page 61 / 217 » Graph Mining using Graph Pattern Profiles |
158
Voted
SDM
2012
SIAM
13 years 4 months ago
2012
SIAM
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
121
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JCB
2007
15 years 2 months ago
2007
Discovering topological motifs or common topologies in one or more graphs is an important as well as an interesting problem. It had been classically viewed as the subgraph isomorp...
129
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ICIP
2008
IEEE
16 years 4 months ago
2008
IEEE
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers bui...
132
Voted
ICDM
2010
IEEE
15 years 8 days ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
131
Voted
GBRPR
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables....