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

Experiments are performed to evaluate several different implementations of a classic graph convolution operation by using datasets of different scales, ranging from 0.15 million nodes to 3 million ...

Currently, this emerging technology has been widely used, and a large number of graph algorithms have emerged. Through the analysis of large-scale graph data, important information hidden in the ...

Aerospike said the underlying architecture of its new graph offering permits it to surpass its competitors in both performance and scale, delivering millisecond multihop graph queries across ...