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Amazon Neptune ML now supports Real-time inductive inference

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Starting with Amazon Neptune version, customers can now use real-time inductive inference with Amazon Neptune ML to enable machine learning (ML) predictions on nodes, edges and properties (entities) that were added to the graph after the ML model training process. With this launch, customers can make predictions on new data without requiring an update to their ML models. Amazon Neptune ML is powered by Amazon SageMaker, and uses Graph Neural Networks (GNNs), a machine learning technique purpose-built for graph that can improve the accuracy of most predictions for graphs by over 50% when compared to making predictions using non-graph methods based on published research from Stanford University.

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