Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

A new project from PHD student Tristan Bilot, Francesco Farina, and the MLX team, mlx-graphs is a library intended to help Graph Neural Networks (GNNs) to run more efficiently on Apple Silicon.

His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects.

Successful understanding of the differences and similarities between continuum and graph models will allow us to translate the large body of work on the properties of PDE models to the discrete ...

Graph databases are game-changers. As for the benefits of using a graph database to underpin the system, Meza believes there are a number: When you’re handling relationship data from disparate data ...

On top of new features in the latest release of the graph database, Neo4j is being tuned for IBM hardware while Neo's query language Cypher gets its own open-source project.