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 ...

Graph computing is a technology that studies the graph in the human world, describing, portraying, analyzing and computing them.

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 ...

Neo4j®, the world's leading graph database and analytics company, announced the launch of Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with ...

Every time you weigh yourself, gazing past your midnight KFC and one-mojito-too-many gut, the scale will record your body weight and fat percentage onto the USB drive.

After years in academia spent developing a very theoretical but powerful algorithm to tackle the analysis of enormous scientific datasets, he was looking for a place where he could match theory with ...

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.

And some functions could also be accelerated by GPUs if that is the accelerator of choice, too. But TigerGraph is a startup and it has to focus on the easiest things with the fastest returns or the ...