Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #37 - podcast episode cover

Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #37

Jul 31, 20231 hr 13 minSeason 5Ep. 7
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Summary:

In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN, the first system that utilises the entire storage hierarchy (including disk) for GNN training. Tune in to find out how MaruisGNN works and just how fast it goes (and how much more cost-efficient it is!)


Links:


Support the podcast through Buy Me a Coffee

Hosted on Acast. See acast.com/privacy for more information.

For the best experience, listen in Metacast app for iOS or Android