We had a chance to speak with TigerGraph's incoming head of product R&D, and it spurred some thoughts on where we thought graph databases should go.

This is a guest blogpost by Amy Holder from Neo4j. She examines recent interest in graph databases as the basis for the next wave of human capital management technology.

Towards efficient algorithms on compressed graph databases Abstract: The speed of algorithms on massive graphs depends on the size of the given data. Grammar-based compression is a technique to ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from ...