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

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

An example knowledge graph exploration from Hetionet, an application created using Neo4j by UC San Francisco graduate student Daniel Himmelstein.

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.

Today’s release introduces Neo4j Aura Professional as a tightly integrated graph database service via the Google Cloud Marketplace. As a self-service solution, Neo4j Aura Professional is designed for ...

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.