When relationships between entities are more important than the entities themselves, you have a business problem made for graph analysis Graph analysis is not a new technology, but many analytics ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. The advance could boost analysis of social networks, ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

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 ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...