Top 5 Graph Analytics Takeaways from Gartner’s Data & Analytics Summit

Discover the top 5 graph analytics takeaways from Gartner’s Data & Analytics Summit, from creating context to improving communication.

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Gartner’s Getting Graphy at Highly Anticipated Data & Analytics Summit

Getting ready for the Gartner Data & Analytics Summit? Check out CMO of Neo4j Lance Walter’s anticipated list of sessions he’ll be attending.

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20 NODES 2020 Talks You May Have Missed

Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.

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Capgemini’s UK Graph Guild: 5-Minute Interview with Calum Chalmers

Check out this week’s 5-Minute Interview with Calum Chalmers, Senior Data Scientist at Capgemini, about the UK Graph Guild.

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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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Simplifying Data Visualization: 5-Minute Interview with Varun Bhandary

Check out this week’s 5-Minute Interview with Varun Bhandary, solutions architect at Cognizant, about his experience with Neo4j’s graph database.

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Understanding Graphs and Graph Data Science

Check out this blog learn what you can expect from the newly released, free book, Graph Data Science For Dummies.

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Insider Guide to Graph Data Science: First, a Brief Overview

Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.

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Graph Analytics for Business Users: 5-Minute Interview with Robert Allison of Kineviz

Check out this 5-minute interview with Robert Allison, Director of Product at Kineviz, as he discusses their products and graph analytics.

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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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