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» The Path-Packing Structure of Graphs
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108
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ICPR
2008
IEEE
16 years 4 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
131
Voted
CAI
2009
Springer
15 years 10 months ago
The Graph Programming Language GP
Abstract. GP (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handlin...
Detlef Plump
129
Voted
AGTIVE
2007
Springer
15 years 10 months ago
Generation of Sierpinski Triangles: A Case Study for Graph Transformation Tools
In this paper, we consider a large variety of solutions for the generation of Sierpinski triangles, one of the case studies for the AGTIVE graph transformation tool contest [15]. A...
Gabriele Taentzer, Enrico Biermann, Dénes B...
144
Voted
ECAI
2008
Springer
15 years 5 months ago
Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
103
Voted
IJCAI
2001
15 years 5 months ago
Backtracking Through Biconnected Components of a Constraint Graph
The algorithm presented here, BCC, is an enhancement of the well known Backtrack used to solve constraint satisfaction problems. Though most backtrack improvements rely on propaga...
Jean-François Baget, Yannic S. Tognetti