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.

SAN MATEO, Calif., April 8, 2020 /PRNewswire/ -- Neo4jⓇ, the leader in graph technology, announced the availability of Neo4j for Graph Data Scienc ...

SAN MATEO, Calif. – April 8th, 2020 – Neo4j, the leader in graph technology, announced the availability of Neo4j for Graph Data Science, the first data science environment built to harness the ...

Katie Roberts, PhD, data science solution architect at Neo4j, joined DBTA's webinar, 'Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems,' to explore how building ...

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 for Graph Data Science was conceived for this purpose, to improve the predictive accuracy of machine learning, or answer previously unanswerable analytics questions, using the relationships ...

Data science and machine learning features: Notebooks and Graph Neural Networks GQL still has some way to go. Standardization efforts are always complicated , and adoption is not guaranteed across ...

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 ...

Climate scientists and science reporters are buzzing about a new graph showing data from the National Snow and Ice Data Center, which gives a unexpectedly bleak portrait of current sea ice area at ...

Illustrated graphs challenge our understanding of the relationship between science and art. Many of the pieces in Jill Pelto’s online gallery have companion artist’s statements that explain how Pelto ...