The Graph Data Science library is based on an open source package of algorithms that Neo4j released as a community project back in 2017. That project gave Neo4j the feedback necessary to create a ...

“Graph embedding learns the structure of your graph to improve your knowledge of the graph,” said Alicia Frame, Neo4j’s product manager for the Graph Data Science library.

SAN MATEO, Calif., April 8, 2020 /PRNewswire/ -- Neo4j Ⓡ, the leader in graph technology, announced the availability of Neo4j for Graph Data Science, the first data science environment built to ...

That’s for the data storage folks. For the data scientists, the company offers Neo4j Graph Data Science Library, a set of comprehensive tools for analyzing graph data.

Neo4j Graph Data Science makes it easy for data scientists to work within their existing data pipeline of tools across their ecosystem. Data scientists can use Neo4j Graph Data Science on-premises, ...

Neo4j, the graph database and analytics leader, is announcing a partnership with Snowflake that brings Neo4j's fully integrated, native graph data science solution to the Snowflake AI Data Cloud. This ...

Neo4j has released a new managed cloud service, dubbed AuraDS, that looks to accelerate data science engineering practices for enterprises by offering a library of graph algorithms, machine ...

Neo4j just released a new product the graph database provider is billing as the first data science environment "built to harness the predictive power of relationships for enterprise deployments." ...

Alicia Frame, Lead Product Manager and Data Scientist at Neo4j, explained why Neo4j for Graph Data Science is the most expeditious way to generate better predictions. “A common misconception in data ...