# A Gallery of Large Graphs

## graph visualization of matrices from the University of Florida Collection

Graph visualization is a way to discover and visualize structures in complex relations. What sort of structures are people who do large scale computation studying? We can get a glimpse by visualizing the thousands of sparse matrices submitted to the University of Florida Sparse Matrix collection using sfdp algorithm . The resulting gallery contains the drawing of graphs as represented by 2568 sparse matrices in this collection. Each of these sparse matrices (a rectangular matrix is treated as a bipartite graph) is viewed as the adjacency matrix of an undirected graph, and is laid out by a multilevel graph drawing algorithm. If the graph is disconnected, then the largest connected component is drawn. The largest graphs have tens of millions of nodes and over a billion of edges. A simple coloring scheme is used: longer edges are colored with colder colors, and short ones warmer. The graphs are in alphabetical order. Use the "Search" link to find graphs of specific characters.
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Wang/wang4 |
Watson/Baumann |
Watson/chem_master1 |
Williams/cant |
Williams/consph |

Williams/cop20k_A |
Williams/mac_econ_fwd500 |
Williams/mc2depi |
Williams/pdb1HYS |
Williams/webbase-1M |

Wissgott/parabolic_fem |
YCheng/psse0 |
YCheng/psse1 |
YCheng/psse2 |
Yoshiyasu/image_interp |

Yoshiyasu/mesh_deform |
YZhou/circuit204 |
Zaoui/kkt_power |
Zhao/Zhao1 |
Zhao/Zhao2 |

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