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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GHS_psdef@cvxbqp1

GHS_psdef/cvxbqp1
GHS_psdef@finance256

GHS_psdef/finance256
GHS_psdef@ford1

GHS_psdef/ford1
GHS_psdef@ford2

GHS_psdef/ford2
GHS_psdef@gridgena

GHS_psdef/gridgena
GHS_psdef@hood

GHS_psdef/hood
GHS_psdef@inline_1

GHS_psdef/inline_1
GHS_psdef@jnlbrng1

GHS_psdef/jnlbrng1
GHS_psdef@ldoor

GHS_psdef/ldoor
GHS_psdef@minsurfo

GHS_psdef/minsurfo
GHS_psdef@obstclae

GHS_psdef/obstclae
GHS_psdef@oilpan

GHS_psdef/oilpan
GHS_psdef@opt1

GHS_psdef/opt1
GHS_psdef@pds10

GHS_psdef/pds10
GHS_psdef@pwt

GHS_psdef/pwt
GHS_psdef@ramage02

GHS_psdef/ramage02
GHS_psdef@s3dkq4m2

GHS_psdef/s3dkq4m2
GHS_psdef@s3dkt3m2

GHS_psdef/s3dkt3m2
GHS_psdef@srb1

GHS_psdef/srb1
GHS_psdef@torsion1

GHS_psdef/torsion1

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