Nov. 11, 2021 — TigerGraph, provider of the leading graph analytics platform, has announced its enhanced Graph Data Science Library (previously named the GSQL Graph Algorithm Library.) This latest ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

It’s been two years since Neo4j launched the first release of Graph Data Science (GDS), the company’s first foray into graph data science. GDS was basically a plugin for Neo4j’s property graph ...

Graph database maker Neo4j Inc. today introduced a version of its Aura managed service aimed at data scientists.The new offering complements an existing managed version of its core graph database ...

Users can improve models through a library of graph algorithms, ML pipelines, and data science methods. Neo4j Graph Data Science makes it easy for data scientists to work within their existing data ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Lise Getoor Abel Rodriguez. UC Santa Cruz will join three other institutions to establish a transdisciplinary research institute bringing together mathematicians, statisticians, and theoretical ...

The AnzoGraph analytics story is that it encompasses all kinds of analytics: graph algorithms, graph views, named queries, aggregates, data science functions, and data warehouse-style BI and ...

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns and ...

Data science is the application of scientific techniques and mathematics to making business decisions. More specifically, it has become known for the data mining, machine learning (ML) and ...