Oct. 18, 2022, 6:22 p.m. | Philipp Brunenberg

Towards Data Science - Medium towardsdatascience.com

Understanding Neo4j GDS Link Predictions (with Code-Demo)

A hands-on tutorial of a common Graph Machine Learning task

Introduction

The Neo4j GDS Machine Learning pipelines are a convenient way to execute complex machine learning workflows directly in the Neo4j infrastructure. Therefore, they can save a lot of effort for managing external infrastructure or dependencies. In this post we will explore a common Graph Machine Learning task: Link Predictions. You can easily reproduce the steps using a popular open data set ( …

gds graph database graph-data-science link prediction machine learning neo4j predictions understanding

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

C003549 Data Analyst (NS) - MON 13 May

@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium

Marketing Decision Scientist

@ Meta | Menlo Park, CA | New York City