Neo4j Blog

Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don't tips to help your Cypher queries run faster than ever in Neo4j. First,... read more

In last week's post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake news. This post... 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: Samuel Yang This week’s featured community member is Samuel Yang, a.k.a @cyphersam, Senior Software Engineer at... read more

Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation. However, an... read more

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics to improve results from your graph data, for example by focusing... read more

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of fake news has left Americans confused about even... read more