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TigerGraph’s Machine Learning (ML) Workbench is a Python development framework that enables data scientists and ML practitioners to quickly build powerful deep learning AI models using connected data. 

Due to its accurate predictive power, the ML Workbench enables organizations to unlock even better insights and bigger business impact on node prediction applications such as anti-money laundering or edge prediction applications such as product recommendations. 

The ML Workbench is designed to interoperate with popular deep learning frameworks such as PyTorch Geometric, DGL, and TensorFlow, providing users with the flexibility to choose a framework they are most familiar with. The ML Workbench is also plug-and-play ready for Amazon SageMaker and Google Vertex.

If you need Enterprise Edition pricing, please contact us. 

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