a company behind the most complete and scalable graph data and analytics platform, announced the GA release of ArangoGraphML, a fully managed and intuitive graph machine learning platform. In today’s ...

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

But Neptune also exemplifies another important development in graph databases: integration of data science and machine learning features. Developing graph applications, and navigating graph ...

The core product is a knowledge graph they claim has mapped ... can be enhanced by the power of machine learning to analyze large amounts of data. However, that is not something that directly ...

He has previously stated, however, that data structures for machine ... to the benefits of having their machine learning models passed through an optimizing graph compiler for all required ...

But most machine learning techniques are designed to ... discipline that focuses on models that operate efficiently on graph data structures. GNNs are a relatively new area of deep learning ...