Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

As the use of graph databases has grown in recent years, ever more applications of this technology involve storing, searching, and reasoning about events. In fact, many companies use this technology ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graphs are everywhere around us. Your social network is a graph of people ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...