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» On Spectral Graph Drawing
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ICASSP
2009
IEEE
14 years 3 months ago
Connecting spectral and spring methods for manifold learning
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
Shannon M. Hughes, Peter J. Ramadge
APBC
2004
13 years 10 months ago
Representing Experimental Biological Data in Metabolic Networks
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
Tim Dwyer, Hardy Rolletschek, Falk Schreiber
SPLST
2003
13 years 10 months ago
How to Draw a Sequence Diagram
Abstract. In this paper, we consider the aesthetic criteria and constraints related to the layouts of UML sequence diagrams. We consider the applicability of the traditional graph ...
Timo Poranen, Erkki Mäkinen, Jyrki Nummenmaa
GD
2009
Springer
13 years 6 months ago
On Open Problems in Biological Network Visualization
Much of the data generated and analyzed in the life sciences can be interpreted and represented by networks or graphs. Network analysis and visualization methods help in investigat...
Mario Albrecht, Andreas Kerren, Karsten Klein, Oli...
FOCS
2009
IEEE
14 years 3 months ago
Higher Eigenvalues of Graphs
— We present a general method for proving upper bounds on the eigenvalues of the graph Laplacian. In particular, we show that for any positive integer k, the kth smallest eigenva...
Jonathan A. Kelner, James R. Lee, Gregory N. Price...