AWS Graph Notebook is an open source Python package for Jupyter notebooks to support graph visualization. It supports both Gremlin and SPARQL, and we expect it will eventually support openCypher, too.

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.