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» Graph Distances in the Data-Stream Model
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WG
2000
Springer
13 years 12 months ago
Networks with Small Stretch Number
: In a previous work, the authors introduced the class of graphs with bounded induced distance of order k, (BID(k) for short) to model non-reliable interconnection networks. A netw...
Serafino Cicerone, Gabriele Di Stefano
ICPR
2008
IEEE
14 years 2 months ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...
IPPS
2009
IEEE
14 years 2 months ago
Unit disk graph and physical interference model: Putting pieces together
Modeling communications in wireless networks is a challenging task since it asks for a simple mathematical object on which efficient algorithms can be designed, but that must also...
Emmanuelle Lebhar, Zvi Lotker
ISNN
2005
Springer
14 years 1 months ago
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
Georg Pölzlbauer, Andreas Rauber, Michael Dit...
GD
2004
Springer
14 years 1 months ago
Graph Drawing by Stress Majorization
Abstract. One of the most popular graph drawing methods is based on achieving graph-theoretic target distances. This method was used by Kamada and Kawai [15], who formulated it as ...
Emden R. Gansner, Yehuda Koren, Stephen C. North