Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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New Supervised Machine Learning Workflows in Neo4j!

Discover the new features in GDS 1.5, including new algorithms, more machine learning, and easier production deployment.

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21 Reading Recommendations for 2021

Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.

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The Top 5 Neo4j Podcasts of 2020

This past year has been a strong one for the Neo4j community on the (digital) airwaves – especially for podcast listeners. Members of the Neo4j community and wider graph ecosystem have been hard at work this year on some of… Read more →

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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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A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of 2020

2020 provided to be a year like no other – wouldn’t you agree? Nothing explains this more than supply chain woes like no toilet paper in stores! (There’s even a graph example for that!) Despite the many unique challenges this… Read more →

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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#GraphCast: The Emil Update

Check out this week’s #GraphCast, featuring a chat with Neo4j’s CEO & Founder Emil Eifrem about what the future holds for graph database technology.

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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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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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This Week in Neo4j – Neo4j 4.2 Released, kNN in the GDS Library, Data Auditing with Spring Data Neo4j

Hi everyone, I hope your week is going well. After receiving a lot of feedback about the lack of usage examples in the APOC documentation, Jennifer Reif and I have been busy adding those examples! So far we’ve written examples… Read more →

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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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#GraphCast: Pathfinding Algorithms

Check out this week’s #GraphCast, featuring pathfinding algorithms used to calculate degrees of separation and directions in map applications.

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Graph-native Machine Learning-Verfahren

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Find More Fraud with Graph Data Science [Infographic]

Learn how graph data science enables teams financial institutions to detect even the most sophisticated fraud schemes.

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