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.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

The study of such graphs is called graph theory. Engineers need to find planarity in a graph when, for example, they are designing a computer chip without a crossed wire.

Graphs are associated with science. A large pharmaceutical company has recently developed a new drug to boost peoples' immune function.

Basically, doing data science with Neo4j data has been painful, expensive, and not scalable, according to Neo4j’s lead product manager Alicia Frame. But that all should change with today’s launch of ...

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, ...

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 ...

Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision ...