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

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Today, we know that specialized software can perform intense data work using modern hardware but with high performance in real time and at a low carbon cost. For example, the use of graph database ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Graph databases such as Neo4j are very different from traditional Structured Query Language-based data platforms such as Oracle and Microsoft SQL. Instead of storing data in tables consisting of ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising ...

As the volume and complexity of data continues to increase, organizations are looking for more efficient and agile solutions to extract meaningful insights. This is where graph databases and NoSQL ...