Graph neural networks have quietly become the workhorses of some of the most security-sensitive corners of modern computing.

IntroductionThis article is a summary of the scientific databases I have researched and reflected upon over the past several ...

AI, natural language processing and semantic search applications are a driving force behind emerging data management operations. Data teams can use knowledge graphs in conjunction with these tools to ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

AllegroGraph’s GraphTalker delivers the Context Graph for agentic AI by connecting enterprise knowledge, reasoning over ...

Some things to consider when opting for graph databases in engineering applications. Graph databases have moved from a topic of academic study into the mainstream of information technology in the last ...

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...