Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

Knowledge graph

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

Better AI with Neo4j and Azure Machine Learning

A machine learning innovation in predictive analytics

Using Neo4j Graph Data Science in Python to improve machine learning models

The future of AI: Machine learning and knowledge graphs

Discover how graph technology enhances artificial intelligence and machine learning with graph theory and algorithms.

Graphs for AI and machine learning

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

New supervised machine learning workflows in Neo4j!

Learn about this updated GraphAcademy course on ML link prediction

Updated GraphAcademy course: Using a machine learning workflow for link prediction

Learn about Neo4j Graph Data Science 1.4

Announcing: Graph-native machine learning in Neo4j!

Check out this Q&A with the author of Graph-Powered Machine Learning.

Machine learning

5-minute interview: Graph-powered machine learning with Dr. Alessandro Negro

Learn more about graphs and machine learning.

Machine learning algorithms

AI & graph technology: How graphs accelerate machine learning

Watch this webinar on graphs in banking, featuring use cases on fraud detection, IAM and MDM.

Graphs in banking: Integration with AI & machine learning [Video]