You can now define custom machine learning models with Neptune Machine Learning (ML) for your graph data on Amazon Neptune. Neptune ML is Amazon Neptune’s machine learning capability that uses Graph Neural Networks (GNNs) developed with Deep Graph Library (DGL) to automate the heavy lifting of selecting and training ML models for graph data. With this launch, you can also run SPARQL inference queries on W3C’s Resource Description Framework (RDF) data model, in addition to Apache TinkerPop Gremlin inference queries on property graphs. New machine learning tasks for RDF include object classification, object regression, object prediction and subject prediction.

Categories: AWS