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.

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 ...

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 ...

Continuous intelligence apps always have to have an answer, so analysis must be continuous because data streams are boundless, and most real-world data is only ephemerally useful.

The graph below shows the total number of publications each year in Graph, Social and Multimedia Data. References [1] Reliable multiplex semi-local random walk based on influential nodes to ...

In data set 4, almost everybody sleeps exactly eight hours per day, and their sleep habits have no correlation to how much they exercise, whereas one person in the sample sleeps almost 20 hours a ...

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 ...