Real-world graph data is extremely valuable for graph algorithm exploration and evaluation, and we are grateful to the following for providing it to the community:
SuiteSparse Matrix Collection, Texas A&M
Road Networks, DIMACS Grand Challenge #9
Graphs to Partition, DIMACS Grand Challenge #10
AltaVista Web Graph, Yahoo!
Social Networks, Max Planck Institute
Facebook, CURRENT Lab @ UCSB
Please contact us if you would like your graph datasets added to this list.