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.

Data is a collection of facts in a raw or unorganized form, such as numbers or characters. Without context, data does not mean much. For example, "18122020" is just a sequence of numbers.

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

Sometimes bar graphs represent an average not a total count, which is trickier to understand. And because bar graphs are everywhere, psychologists from Wellesley College wanted to determine how well ...

The similarities between relational databases and semantic graph databases allow for a natural evolution of user skills, which is substantially more cost efficient than having to finance a slew of ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has ...

Artwork by Maddie R. Original Graph: Real scientific data (in the form of a graph) that is the inspiration for the project. Integrated into the illustrated graph. Does not have to be climate ...