7 Quick Tips to Get More from the GDS Library [Tip Sheet]

Read this tip sheet to learn 7 more advanced tips to enhance your GDS Library experience and expand your data science the possibilities.

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Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)

Learn about the newest features in Neo4j Graph Data Science library 1.3 released, and discover why you need to upgrade from the old algorithm library.

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The Power of Graph Data Science: 5-Minute Interview with Alicia Frame

Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.

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Improving Patient Outcomes with Graph Algorithms

Learn about how AstraZeneca visualized patient journeys, answered important questions about prescriptions and diagnoses, and improved patient outcomes.

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Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Graph-Powered Recommendations: A Framework for Faster Development

Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Graph-Powered Recommendations: Instantly Evaluating Relationships

Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Neo4j Certified Professionals Now Get Access to Advanced-Level Virtual Training Sessions

Learn about getting access to eight, hands-on advanced-level virtual training sessions for Neo4j Certified Professionals, at no cost to you.

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Practical Applications of Neo4j 4.0

Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.

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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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Neo4j Is in Bloom Everywhere This Spring

Discover the benefits of the most recent update to Neo4j Bloom, a data visualization tool to help you explore data connections.

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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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The Future of the Intelligent Application: Why Graph Technology Is Key

Read the first installment in our series on the future of the intelligent application, which shows the emerging requirements for these applications.

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Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.

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Graphs to Fight Diabetes

Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.

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This Week in Neo4j – Analyzing .NET Dependencies, Coloring a Sudoku Graph, Christmas Messages Graph, Making Graph Algorithms ‘Clique’

Check out this week’s TWIN4J for the latest happenings in the Neo4j community at large.

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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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A *Decade* of Graphs: Neo4j’s Top 10 Biggest Moments of the 2010s

Relive all the inspirational moments and groundbreaking announcements from the graph tech community in the last decade – from Neo4j 1.0 to GQL and more.

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The Top 5 Neo4j Podcasts of 2019

Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.

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How to Make Small Talk with Your Boss About Music (With the Help of Graph-Based Recommendations)

Learn how graph-based recommendations could be the key to not having an awkward elevator conversation ever with your boss.

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Graph Theory Takes on the Opioid Epidemic

Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.

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Responsible AI: The Critical Need for Context (and Practical Tips)

Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.

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This Week in Neo4j – Building Spatial Search Algorithms for Neo4j, Colruyt Data Science assignment, GR-R-ANDstack, Releases of APOC and Halin

Hi graph gang, In this week’s video from the NODES 2019 conference, Craig Taverner demonstrates a new library that we’ve been working on to prototype new spatial algorithms. Tomaz Bratanic builds a graph analytics pipeline to explore the transport system… Read more →

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A Conversation with Graphs

Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →

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