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

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

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Loading and Updating the Graph: Loading graphs is not like ETL for relational databases, where data is loaded into tables with a predefined structure. Graphs can have predefined structure for ...

In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications.

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...