Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings

Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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Announcing Neo4j for Graph Data Science

Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.

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Machine Learning Algorithms

Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.

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Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

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Neo4j Staff Predictions for 2020

A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →

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Graphing Space and Time

Discover how the New York Presbyterian Hospital utilizes graph databases to combine time and space data and further comprehend patient data.

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#GraphCast: “All Graph Databases Are Not Created Equal”

Check out this week’s #GraphCast, featuring a recorded discussion on the graph database buying process. Watch “All Graphs Are Not Created Equal” now.

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Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis

Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.

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DeepWalk: Implementing Graph Embeddings in Neo4j

Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.

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AI & Graph Technology: Connections Improve Accuracy

Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.

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Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

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Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]

Discover what’s new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.

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15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS

I just returned from Venice, where enjoyed not only the weather and food but …​ Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →

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Transforming the Enterprise: AI at Scale with Neo4j

Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.

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Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j

Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.

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Graph Algorithms in Neo4j: Graph Algorithms in Practice

Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →

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Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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#GraphCast: Graph Analytics For The Throne [GoT]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… Read more →

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Announcing Neo4j Labs: Incubating the Next Generation of Graph Developer Tooling

As the Director of the Developer Relations engineering team, I couldn’t be more proud of the things we have achieved over the last few years. Our focus was to build integrations, tools and libraries that extend the Neo4j Graph Platform… Read more →

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