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They use networkx today: https://github.com/rapidsai/nx-cugraph/ because it's more popular than networkit or icebug. But its popularity is based on ease of use, not performance:

https://github.com/timlrx/graph-benchmarks

Not clear if the author or anyone else has an updated version of these benchmarks. Opened an icebug issue on the repo.

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see graph500

we use igraph cpu / cugraph gpu in pygraphistry/gfql projects, and our experience is cugraph is ~10X+ on tiny cheap GPUs over igraph. looking at that table, where all seem same magnitude as igraph, I'd therefore expect much better than all the options listed. And when things get bigger and it merits a bigger GPU, even better. The team has been doing a great job over the last decade, and all free.

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