# 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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Gset/G66 |
Gset/G67 |
Gset/G7 |
Gset/G8 |
Gset/G9 |

Gupta/gupta1 |
Gupta/gupta2 |
Gupta/gupta3 |
Hamm/add20 |
Hamm/add32 |

Hamm/bcircuit |
Hamm/hcircuit |
Hamm/memplus |
Hamm/scircuit |
Hamrle/Hamrle1 |

Hamrle/Hamrle2 |
Hamrle/Hamrle3 |
HB/1138_bus |
HB/494_bus |
HB/662_bus |

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