In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and ...

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

The team proposed Graph-Decomposed k -NN Searching Algorithm to improve the time-efficiency of nearest nodes searching. In the research, A graph-decomposed tree is constructed from road network.

In this paper we propose a novel graph-based genetic algorithm for the evolution of novel molecular graphs from a predefined set of elements or molecular fragments with an external objective function.

Since Random Forest is a low-level algorithm in machine learning architectures, it can also contribute to the performance of other low-level methods, as well as visualization algorithms, including ...

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

A KAIST research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. Named as T-GPS (Trillion-scale ...

As the algorithm collection grew, and graph was gaining steam, cuGraph was born, and Rees became the project leader. CuGraph is a collection of graph algorithms implemented over Nvidia GPUs.