TigerGraph ML Workbench
TigerGraph Machine Learning Workbench is a platform designed for data scientists and AI/ML practitioners to easily develop graph-based machine learning models with production-scale graph data stored in TigerGraph.
Guides and information to help you get up and running.
Workbench is available as a service through TigerGraph Cloud or standalone in two Editions: Community and Enterprise.
ML Workbench can be included when you create a new database instance on TigerGraph Cloud.
On-Prem local server or private cloud distinct from the TigerGraph Cloud integration.
Tutorials and Sample Data
A set of tutorials and training data sets to learn ML Workbench.
Release Notes and FAQs
Find the most up-to-date news on ML Workbench or find answers to common questions.