Abstract. With shortest-path distances as input, classical multidimen-sional scaling can be regarded as a spectral graph drawing algorithm, and recent approximation techniques make it scale to very large graphs. In comparison with other methods, however, it is considered inflexible and prone to degenerate layouts for some classes of graphs. We want to challenge this belief by demonstrating that the method can be flexibly adapted to provide focus+context layouts. Moreover, we propose an alternative instantiation that appears to be more suitable for graph drawing and prevents certain degeneracies.
This thesis addresses the issue of efficient dynamic graph drawing for large scale connected graphs ...
Readability criteria, such as distance or neighborhood preservation, are often used to optimize node...
Graph drawing is a basic visualization tool. For graphs of up to hundreds of nodes and edges, there ...
Abstract. With shortest-path distances as input, classical multidimen-sional scaling can be regarded...
With shortest-path distances as input, classical multidimensional scaling can be regarded as a spect...
We present a fast spectral graph drawing algorithm for drawing undirected connected graphs. Multi-Di...
We present a multi-scale layout algorithm for the aesthetic drawing of undirected graphs with straig...
In numerous application areas, general undirected graphs need to be drawn, and force-directed layout...
AbstractWe describe a multi-scale approach to the problem of drawing undirected graphs “nicely”, wit...
Abstract. We present a novel algorithm for drawing undirected connected graphs, by using a spectral ...
We present a novel sampling-based approximation technique for classical multidimensional scaling tha...
We present a novel graph drawing algorithm which uses a spectral decomposition of the distance matri...
We show a novel approach for accelerating the computation of graph drawing algorithms. The method is...
We present a novel hierarchical force-directed method for drawing large graphs. The algorithm produc...
This thesis presents a new graph drawing approach (the concentric approach) for drawing any undirect...
This thesis addresses the issue of efficient dynamic graph drawing for large scale connected graphs ...
Readability criteria, such as distance or neighborhood preservation, are often used to optimize node...
Graph drawing is a basic visualization tool. For graphs of up to hundreds of nodes and edges, there ...
Abstract. With shortest-path distances as input, classical multidimen-sional scaling can be regarded...
With shortest-path distances as input, classical multidimensional scaling can be regarded as a spect...
We present a fast spectral graph drawing algorithm for drawing undirected connected graphs. Multi-Di...
We present a multi-scale layout algorithm for the aesthetic drawing of undirected graphs with straig...
In numerous application areas, general undirected graphs need to be drawn, and force-directed layout...
AbstractWe describe a multi-scale approach to the problem of drawing undirected graphs “nicely”, wit...
Abstract. We present a novel algorithm for drawing undirected connected graphs, by using a spectral ...
We present a novel sampling-based approximation technique for classical multidimensional scaling tha...
We present a novel graph drawing algorithm which uses a spectral decomposition of the distance matri...
We show a novel approach for accelerating the computation of graph drawing algorithms. The method is...
We present a novel hierarchical force-directed method for drawing large graphs. The algorithm produc...
This thesis presents a new graph drawing approach (the concentric approach) for drawing any undirect...
This thesis addresses the issue of efficient dynamic graph drawing for large scale connected graphs ...
Readability criteria, such as distance or neighborhood preservation, are often used to optimize node...
Graph drawing is a basic visualization tool. For graphs of up to hundreds of nodes and edges, there ...