Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

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

Sometimes a good chart can do what a thousand thinkpieces can’t: make something click. The subreddit r/DataIsBeautiful is packed with visualizations that break down the world in clever ...

Getting Your Data Graph-Ready After deciding on the technology and the key operational and logistical questions you want to answer with graph, your next step is to build a graph data model.

The bottom line is that “graph databases are a type of NoSQL database that stores data as a network of interconnected nodes and edges,” Nadkarni explained. “They manage complex relationships between ...

Graph data linked with geographic data will provide new means of data discovery, developers were told at a recent conference hosted by Esri.

The mockery about “chart crimes” — big boo-boos with data graphics — nearly overshadowed the technology upgrades announced by ...