# 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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PARSEC/Ge99H100 |
PARSEC/H2O |
PARSEC/Na5 |
PARSEC/Si10H16 |
PARSEC/Si2 |

PARSEC/Si34H36 |
PARSEC/Si41Ge41H72 |
PARSEC/Si5H12 |
PARSEC/Si87H76 |
PARSEC/SiH4 |

PARSEC/SiNa |
PARSEC/SiO |
PARSEC/SiO2 |
Pereyra/landmark |
POLYFLOW/invextr1_new |

POLYFLOW/mixtank_new |
Pothen/barth |
Pothen/barth4 |
Pothen/barth5 |
Pothen/bodyy4 |

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