Announcing: Graph-Native Machine Learning in Neo4j!

Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.

Explore:  


This Week in Neo4j – Neo4j 4.0 procedure examples, Connecting your React app to Neo4j with React Hooks, New Graph Algorithms Training

Hi everyone, The NODES 2020 conference is almost upon us. It all gets underway from 8am Eastern Time on Tuesday October 20th 2020. Hope to (virtually) see you there! We’ve just finished the virtual training sessions for Neo4j Certified Professionals,… Read more →

Explore:  


New GraphAcademy Course: Introduction to Graph Algorithms in Neo4j 4.0

Check out the details of our new GraphAcademy course, Introduction to Graph Algorithms in Neo4j 4.0, and enroll today!

Explore:  


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.

Explore:  


This Week in Neo4j – Data Import using RxJS, GOV.UK Knowledge Graph, Analyzing ArXiv data

Hey graphistas, I hope your week’s going well. I’ve been playing around with the GDSL’s Pregel API, which provides a vertex-centric computation model for writing graph algorithms. I’ll write something up on my experiments soon. We’re getting close to the… Read more →

Explore:  


Building Spatial Search Algorithms for Neo4j

Craig Taverner, Senior Software Engineer at Neo4j, presents building Spatial Search Algorithms based on his work with Stephan van der Lind.

Explore:  


This Week in Neo4j – Getting started with Neo4j, Gatsby, and GraphQL, Slack Knowledge Graph, Changes in direction with the Traversal API

Hi graph gang, In this week’s video, Will Lyon shows us how to get started with Neo4j, Gatsby, and GraphQL. Max De Marzi shows how to solve a tricky problem using the Traversal API, Adam Cowley builds a Knowledge Graph… Read more →

Explore:  


Combating Money Laundering: AML Graph Algorithms

Read blog five in this six-part series on fighting money laundering with graph technology; this week we focus on useful AML graph algorithms.

Explore:  


Heading off corona fraud

Explore:  


Planet R&D: 5-Minute Interview with Fredrik Wikholm

Check out this 5-minute interview on Planethon’s mission: planet R&D and providing a bridge between Earth science at large and business.

Explore:  


Combating Money Laundering: Sprints with Money Queries

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

Explore:  


Combating Money Laundering: Enterprise AML Technology

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

Explore:  


Bringing Sustainability Science to Life: 5-Minute Interview with Carina Johed

Check out this week’s 5-Minute Interview with Carina Johed, CTO at Planethon, about bringing ecological sustainability to life.

Explore:  


Combating Money Laundering: AML Compliance Program Design

Read the second blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


Improving Patient Outcomes with Graph Algorithms

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

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore:  


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.

Explore: