  In order to evaluate, compare, and tune graph algorithms, experiments on well
designed benchmark sets have to be performed. Together with the goal of
reproducibility of experimental results, this creates a demand for a public
archive to gather and store graph instances. Such an archive would ideally
allow annotation of instances or sets of graphs with additional information
like graph properties and references to the respective experiments and results.
Here we examine the requirements, and introduce a new community project with
the aim of producing an easily accessible library of graphs. Through successful
community involvement, it is expected that the archive will contain a
representative selection of both real-world and generated graph instances,
covering significant application areas as well as interesting classes of
graphs.
