Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

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

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Describing dynamic algorithms for graph modeling, Shun references high-level programming frameworks that will help deliver self-service to business users, ...

Learn how Pigment’s AI-driven platform transforms planning, forecasting, budgeting, and decision-making with cutting-edge ...

Graph Foundation Model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-024-40046-0 ...

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM ...

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable. Skip to main content. Events Video Special Issues Jobs ...

Graph databases, like Neo4j, excel in managing data that’s all about connections. They store information as entities and the links between them, making it easier to see how everything is related.

A new paper in the journal Scientific Reports has explored the question of using quantum graph modeling for metamaterial design. Authored by scientists from the University of Nottingham and LMSD in ...