Description
Large graphs and networks can be divided into high-quality partitions for research and engineering work.
It is useful for people working with graph algorithms, simulations, parallel computing, or dataset preprocessing. Results are technical and depend on input parameters, so compare partitions before using them in experiments or production pipelines.