What's the key to finding the $100M graph query? Your imagination, along with increasing your ability to think in graphs.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Graph databases are finding new use cases in sales, ecommerce, healthcare, financial services, fraud detection and much more.

Neo4j®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in ...

TigerGraph’s new hybrid search capability combines its existing graph-based tools for finding connections between data points with a vector search capability.

Graph limit theory provides a rigorous framework for analysing sequences of large graphs by representing them as continuous objects known as graphons – symmetric measurable functions on the unit ...

Facebook's Social Graph -- the database underlying its Graph Search engine unveiled yesterday-- is just one of many graph databases being employed for complex, connected data. Neo4j is another ...