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» Visualizing Weighted Edges in Graphs
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IJCAI
2003
13 years 6 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
DM
2008
68views more  DM 2008»
13 years 5 months ago
Heavy cycles in k-connected weighted graphs with large weighted degree sums
A weighted graph is one in which every edge e is assigned a nonnegative number w(e), called the weight of e. The weight of a cycle is defined as the sum of the weights of its edge...
Bing Chen, Shenggui Zhang, T. C. Edwin Cheng
FCT
2005
Springer
13 years 10 months ago
A Simple and Fast Min-cut Algorithm
We present an algorithm which calculates a minimum cut and its weight in an undirected graph with nonnegative real edge weights, n vertices and m edges, in time O( ` max (log n, mi...
Michael Brinkmeier
GD
2003
Springer
13 years 10 months ago
Simultaneous Graph Drawing: Layout Algorithms and Visualization Schemes
In this paper we consider the problem of drawing and displaying a series of related graphs, i.e., graphs that share all, or parts of the same node set. We present three algorithms...
Cesim Erten, Stephen G. Kobourov, Vu Le, Armand Na...
CORR
2010
Springer
176views Education» more  CORR 2010»
13 years 5 months ago
A General Framework for Graph Sparsification
Given a weighted graph G and an error parameter > 0, the graph sparsification problem requires sampling edges in G and giving the sampled edges appropriate weights to obtain a...
Ramesh Hariharan, Debmalya Panigrahi