BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

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 ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph ...

“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 ...

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 ...