Neo4j Blog

Just a few months ago, we announced graph-native machine learning in Neo4j with graph embeddings and an ML model catalog. Applying state-of-the-science machine learning for graphs was super exciting for many of you (and us!), and we’re thrilled about the creative applications the community... read more

Editor’s Note: This presentation was given by Pat Brown and Karim Shehadeh at NODES 2019 in October 2019. Presentation Summary In this post, two of the members of Under Armour's Engineering Advocacy Team, Pat Brown and Karim Shehadeh, discuss a recent project they worked on to help further... read more

The COVID-19 pandemic has illustrated the importance of network analysis to the world in general. Indeed, the R0 index literally assesses how many people were in close relation to someone else so that they were infected by the index case. In order to control the spread, blocking transmission chains... read more

Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today use graph databases to solve tough... read more

Hi everyone, Our video this week is from Build a GRANDstack Podcast App live stream. If you like Next.js, this one is for you. New DevRel team member Clair Sullivan shows us how to import CSV files, Tomaz Bratanic builds a news knowledge graph, and Nigel Small announces the new... read more

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Managing Editor, Jessica Baumgardner, struck gold with this neat video explaining how graph theory can be used to find the number of reasonable watch... read more