Neo4j's Bryan Evans talks about the company's fraud detection strategy, based on a database of knowledge graphs, at AWS Financial Services Symposium.

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

At their most basic level, knowledge graphs are used to share information, as the basis for data management and governance and as a data fabric. Neo4j customer use cases tend to use knowledge ...

Join DTBA and graph experts Neo4j on Tuesday April 26th to discover why knowledge graphs are on the rise, how they work and what the most popular use cases are for enterprises.

Neo4j’s graph database and analytics capabilities can be used to create knowledge graphs, which capture relationships between entities – and this is a function that can then be used to enable ...

A property graph database, such as Neo4j’s, is an extreme example of a structured data store. The node-and-edge graph structure excels at helping users to explore knowledge about entities (defined as ...

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Graph technology is finding uses in all branches of science and technology and, courtesy of NASA, we can add rocket science to the list.