About the AMA cuGraph: Graph analysis and GNN category

Join us for an AMA with the engineering team behind cuGraph
When: April 12th, 9am (PDT)
Where: Right here in this forum directory

What is cuGraph?
cuGraph is a robust, full feature, suite of graph analytics libraries. The core cuGraph library includes about three dozen algorithms, with most support scaling to massive GPU clusters. The cuGraph PageRank algorithm, for example has been test on a 4.4 trillion edge graph spread over 2,048 GPU. Even at that scale, a single PageRank iteration only took 1.5 seconds. Recently cuGraph has added supports for GNN with accelerated aggregators, accelerated models, and extensions to both DGL and PyG.

What data structures do your customers ask for? Or do they care? Like, do you get requests that say “I’d really like to use X data structure, can you support that”?

Hi There thanks for asking, can you post this as a new topic in this category
sorry for any inconvenience.