Graph analytics improves AI decision-making by uncovering hidden patterns and relationships in complex data, delivering more accurate insights with richer context than traditional analytics. Yet ...

REDWOOD CITY, Calif., Dec. 15, 2022 (GLOBE NEWSWIRE) -- TigerGraph, provider of a leading ML and AI graph analytics platform, today announced it has been recognized in the 2022 Gartner® Magic ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great at representing ...

LOS GATOS, Calif., March 19, 2025 /PRNewswire/ -- Lynx Analytics, a member of the NVIDIA Inception program for startups, today announced the launch of LynxKite 2000:MM, the most advanced version of ...

Triangle counting stands as a fundamental task in graph theory and network science, offering critical insights into the structural properties of complex systems. By enumerating all sets of three ...

COMPANY ANNOUNCEMENT: Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights - no graph expertise needed Neo4j, the world’s leading ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...