Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of ...

In tests using large-scale real-world graph datasets, Capsule outperformed the best existing systems, achieving up to a 12.02x performance improvement while using only 22.24% of the memory.

JEREMY BRENER. Jeremy Brener is an editor, writer and social media manager for several Fan Nation websites. His work has also been featured in 247 Sports and SB Nation as a writer and podcaster.