Using Neo4j Graph Data Science in Python to Improve Machine Learning Models

A wave of graph-based approaches to data science and machine learning is rising. We live in an era where the exponential growth of graph technology is predicted [1]. The ability to analyze data points through the context of their relationships… Read more →


Exploring the European Natural Gas Network as a Knowledge Graph

In this blog post, we’ll use Neo4j to turn the European Gas Network into a knowledge graph to analyze the data.Photo by Rostislav Artov, UnsplashThe crisis between Ukraine and Russia caused relations between Russia and the E.U. to fall to the lowest… Read more →


Exploring Fraud Detection With Neo4j & Graph Data Science  –  Summary

Fraud Detection is one of today's most challenging data science problems. Thankfully, Neo4j Graph Data Science (GDS) offers practical solutions that empower data scientists to make rapid progress in fraud detection analytics and machine learning. Read more →


15 Tools for Visualizing Your Neo4j Graph Database

Visualizing graphs is hard. When I started working with graph data, I realized it takes significant work to create intuitive graph visualizations. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.In this article, I’m zooming… Read more →