System is a Public Benefit Corporation that is building the System Graph, a quantitative model of the world as one ...

Database acceleration using specialized co-processors is nothing new. Just to give a few examples, data warehouses running on the Netezza platform, owned by IBM for more than a decade now, uses a ...

Graph Neural Networks (GNNs) have gained widespread adoption in recommendation systems. When it comes to processing large graphs, GNNs may encounter the scalability issue stemming from their ...

Graph database maker Neo4j Inc. today launched Infinigraph, calling it a significant advancement in distributed graph technology. The company said the architecture allows users to run both operational ...

In the era of Big Data, the relationship between data are complex and large in scale. The relationship between various data objects is described as Vertex and Edge, where the Vertex represents the ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

irene.hudson@rmit.edu.au is affiliated with RMIT. Previous government Department of Health and Aging funding with the WHO on tobacco control measures 2013-2016 Mark Osborn currently receives funding ...