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 →


Build with Neo4j and GraphQL at the Leonhard Euler Idea Contest

If you’re a professional, aspiring developer working in the field of application development, databases, graphs, artificial intelligence (AI), full-stack, or you’re someone who is passionate about technology, Neo4j is excited to offer you an opportunity to transform your most creative ideas into reality using Neo4j graph database and the Neo4j GraphQL Library. Read more →