Easy Jupyter Notebook Graph Visualization in 10 minutes

Session Track: App Dev

Session Time: 03:15 pm - 03:30 pm November 6

Session description

In this session, Adam and Florentin will introduce you to the new neo4j-viz Python library for easily creating beautiful and interactive graph visualizations. They will explain the basic concepts you need to know and walk you through a demo of how to get started using the library. No matter if you have your graph data in a Neo4j database, Neo4j Graph Data Science projection, or even Snowflake tables, neo4j-viz can quickly help you to understand it better at a glance.

Speakers

Adam Schill Collberg

Lead Software Engineer, Neo4j

After studying mathematics and theoretical computer science at university, Adam went into industry to work with embedded software and hardware for accelerating deep learning as well as gathering and processing sensor data. Adam is currently developing and implementing algorithms for doing graph machine learning on a massive scale at Neo4j.

Florentin Dörre

Graph Data Science Engineer, Neo4j

Florentin is part of the team at Neo4j developing the Graph Data Science library with a focus on offering Aura Graph Analytics Serverless.