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DIAGRAMS
2006
Springer
15 years 7 months ago
Toward a Comprehensive Model of Graph Comprehension: Making the Case for Spatial Cognition
We argue that a comprehensive model of graph comprehension must include spatial cognition. We propose that current models of graph comprehension have not needed to incorporate spat...
Susan Bell Trickett, J. Gregory Trafton
APVIS
2007
15 years 5 months ago
GraphScape: integrated multivariate network visualization
In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a land...
Kai Xu 0003, Andrew Cunningham, Seok-Hee Hong, Bru...
NIPS
2007
15 years 5 months ago
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
Kyomin Jung, Devavrat Shah
GG
2010
Springer
15 years 5 months ago
A Component Concept for Typed Graphs with Inheritance and Containment Structures
Model-driven development (MDD) has become a promising trend in software engineering. The model-driven development of highly complex software systems may lead to large models which ...
Stefan Jurack, Gabriele Taentzer
162
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JGAA
2007
135views more  JGAA 2007»
15 years 3 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento