Real-World
Input Graphs

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

• SNAP, Stanford

• Laboratory for Web Algorithmics

• Road Networks, DIMACS Grand Challenge #9

• Graphs to Partition, DIMACS Grand Challenge #10

• Twitter, KAIST

• Twitter, INRIA

• AltaVista Web Graph, Yahoo!

• Social Networks, Max Planck Institute

• Facebook, CURRENT Lab @ UCSB

• Wikipedia (2010) Link Graph

• Open Web Crawl

• Microsoft Academic Graph

• Koblenz Network Collection

• Google+

• Web Data Commons - Hyperlink Graphs

Please contact us if you would like your graph datasets added to this list.