Neo4j Blog

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today's financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection to make it difficult to follow money from one... read more

.image-heading { text-align: center; } .heading { font-size: .8em; line-height: 1.5em; text-align: center; font-weight: bold; } Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week... read more

Editor's Note: This presentation was given by Dippy Aggarwal at GraphConnect San Francisco in October 2016. Presentation Summary Container orchestration for multiple containers across a fleet of machines has the potential to solve issues across the range of scaling, replication, fault... read more

Editor's Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network (a.k.a., "HetNet"), which turned... read more

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete... read more

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Jasper Blues This week’s featured community member is Jasper Blues, a long time Neo4j user and contributor, living in Manila in... read more