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Learn more about graphs and machine learning.

Machine Learning Algorithms

Editor’s Note: This presentation was given by Lauren Shin at GraphConnect New York City in September 2018. Presentation Summary Lauren Shin is a developer relations intern with Neo4j and a student at UC Berkeley. In her presentation, Shin briefly introduces the concept of machine... read more


The Future of the Intelligent Application: Granular Security

Modern applications come with new requirements. Such applications incorporate intelligence and learning. They require full context to support smart decision-making in real time. These applications must be able to scale without limits to meet unexpected demand. Furthermore, next-generation... read more


This Week in Neo4j – Graphs in AI and ML, Graph Data Science Sandbox, COVID-19 analysis, GRANDstack Access Control, and More

Hi Graph Friends- If you haven’t already heard GraphConnect 2020 in New York City has been postponed and the remainder of the GraphTour Europe events have been moved to online only. We have some great ideas for more online events going forward so stay tuned for more ways to connect... read more



Learn how to run Cypher to analyze your data inconsistencies in Neo4j.

Run Cypher to Analyze Neo4j Graph Database Inconsistencies

Have you ever wanted to check for data inconsistencies in your Neo4j graph database? Perhaps you are merging data from different sources, or over the course of a project have changed your data model without reloading data. Or alternatively, you are asked to review someone else’s Neo4j... read more


Learn about GraphQL to aid digital identity and access management.

Using GraphQL for Digital Identity & Access Management

Editor’s Note: This presentation was given by Alex Babeanu at GraphConnect New York in September 2018. Presentation Summary Identity and access management (IAM) – one of the pillars of cybersecurity – is growing immensely. In a world where hackers and malicious agents target the insiders... read more