Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing by High-Dimensional Embedding
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Findings from an empirical study of fine-grained human social contacts
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
SSDE: fast graph drawing using sampled spectral distance embedding
GD'06 Proceedings of the 14th international conference on Graph drawing
Eigensolver methods for progressive multidimensional scaling of large data
GD'06 Proceedings of the 14th international conference on Graph drawing
Graph visualization with latent variable models
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Discrete bi-Laplacians and biharmonic b-splines
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Graph drawing by classical multidimensional scaling: new perspectives
GD'12 Proceedings of the 20th international conference on Graph Drawing
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We present a novel graph drawing algorithm which uses a spectral decomposition of the distance matrix to approximate the graph theoretical distances. The algorithm preserves symmetry and node densities, i.e., the drawings are aesthetically pleasing. The runtime for typical 20,000 node graphs ranges from 100 to 150 seconds.