Graph-Enhanced Machine Learning

Differentiate your ML. For real.
Empower your team with a new world of attributes they can use to improve their ML models.
Increase accuracy in your knowledge graph with structure, distance, and context.

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Graph-Enhanced Machine Learning Benefits

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More Accurate

Feel confident that your ML models have a complete view of your data each time they provide an output. A knowledge graph-enriched dataset provides structure, distance, and context. With these attributes available for each data point during training, your ML models learn to understand the broader context which increases accuracy.

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Small Data Big Results

Get more out of your small data. Traditional ML requires massive datasets to perform well, but with graph-enhanced ML small data is your superpower. Your small datasets enhanced by graph characteristics reveal their highly-predictive attributes available for training high-impact ML models.

Developer Friendly

Empower all your developers to incorporate ML into their solutions. Standard JSON APIs and language-specific SDKs make ML approachable with the skills your non-ML developers already have. GraphGrid handles the complexity of integrating your knowledge graph and Spark so your developers can focus on solutions that use both.

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Transparent and Explainable

Understand how your machine learning models work even if you do not have a background in math or computer science. Identify biases in your data before they impact your ML model outputs.

Graph-Enhanced Machine Learning Role in GraphGrid Graph + AI Platform

GraphGrid makes it quick and easy for you to enhance your ML models with attributes from your knowledge graph and introduce new knowledge gleaned from the ML model outputs into your graph

Simple
Write the graph query to extract the data and GraphGrid handles the rest of the integration and data pipeline flow.
Powerful
Supercharge your ML for data scientists and developers with graph features, embeddings, and unrivaled predictive accuracy.
Symbiotic
A graph-to-Spark-to-graph flow is available out of the box. Graph enhances your ML models during training. ML models identify new graph characteristics.