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 ...

XGCN: a library for large-scale graph neural network recommendations. Article Publication Date. 14-Mar-2024. ... Frontiers of Computer Science DOI 10.1007/s11704-024-3803-z. Keywords ...

“This dovetails with a widely held belief in computer science about graphs as they exist in the real world—the belief that large-scale graphs are always sparse,” he explains. “But I have an ...

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

Cactus Communications (CACTUS), a technology company accelerating scientific advancement, announced today its acquisition of Mind the Graph, a SaaS platform with the “world's largest ...

Graph technology is finding uses in all branches of science and technology and, courtesy of NASA, we can add rocket science to the list. Written by Colin Barker, Contributor June 21, 2017 at 3:50 ...

A log scale graph, where one or both axes increase exponentially (1, 10, 100, instead of 1, 2, 3), data is compressed to make exponential trends easier to parse. However, log curves can distort ...