This Week in Neo4j – Google Cloud IAM hierarchy, Analyzing Genomes, Demystifying Graph Databases

Hi everyone, In this week’s video, Dr Jim Webber talks about the growing importance of Graph Data Science. Pavan Kumar Kattamuri visualises Google Cloud IAM, Papa Yaw Ofori-Afriyie gives us an intro to graph databases, and Rik Van Bruggen published… Read more →

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#GraphCast: A Renaissance of Knowledge Graphs

Check out this week’s #GraphCast series for an informative podcast on knowledge graphs with Amy Hodler.

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New Certification Exam Available: Neo4j Graph Data Science

Announcing our new certification exam you can take on GraphAcademy to become a certified graph data science professional.

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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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