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» Graph Transformation in a Nutshell
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143
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GBRPR
2007
Springer
15 years 7 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
130
Voted
CGVR
2008
15 years 5 months ago
A Graph Drawing Algorithm for the Game of Sprouts
- A graph drawing algorithm for the Game of Sprouts is presented. The algorithm guarantees that the polylines that connect graph nodes are drawn smoothly and that they maintain rea...
Wayne Brown, Leemon C. Baird III
109
Voted
ECEASST
2010
15 years 1 months ago
Graph Algebras for Bigraphs
In this talk we will present a new approach to deal with attributed graphs and attributed graph transformation. The approach is based on working with what we call symbolic graphs, ...
Davide Grohmann, Marino Miculan
145
Voted
ENTCS
2006
183views more  ENTCS 2006»
15 years 3 months ago
Metamodel-Based Model Transformation with Aspect-Oriented Constraints
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
László Lengyel, Tihamer Levendovszky...
132
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UAI
2004
15 years 5 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey