AWS Database Blog
Author: Soji Adeshina
Easier and faster graph machine learning with Amazon Neptune ML
Amazon Neptune ML provides a simple workflow for training machine learning (ML) models for graph data. With version 1.0.5.0, Neptune ML delivers additional enhancements to all the steps of this workflow to reduce cost, increase speed, and offer a more flexible modeling experience. Starting with data export and data processing, Neptune ML now provides additional […]
Get predictions for evolving graph data faster with Amazon Neptune ML
As an application developer building graph applications with Amazon Neptune, your graph data may be evolving on a regular basis, with new nodes and or new relationships between nodes being added to the graph to reflect the latest changes in your underlying business data. Amazon Neptune ML now supports incremental model predictions on graph data […]
Discover more insights in your graphs with new features from Amazon Neptune ML
Amazon Neptune ML is a feature of Amazon Neptune that brings the power of the state-of-the-art graph neural network (GNN) models to all graph developers. You can use Neptune ML for tasks like node classification, node regression, and link prediction. This allows you to train GNN models powered by the Deep Graph Library (DGL) to […]