The reason graphs are accelerating is the match between graph technology as a way of working with information and the way the digital and physical worlds deal with complexity. Graphs all around us ...

In a guest blogpost, Neo4j’s Alyson Welch explains why Large Language Model AI systems can’t move beyond non-trivial applications until they are properly curated. ChatGPT and other generative ...

What seems like a safe bet, however, is the emergence of graph as a foundational technology stack for the 2020s and beyond. Daily insights on business use cases with VB Daily If you want to ...

A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks.

New research has developed a software to more efficiently run graph applications on a wider range of computer hardware. The software is a graph programming language known as ‘GraphIt’. "A compiler ...

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

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and store data as ...

Graph analytics is at the heart of some of today’s most exciting computational applications in science and technology. The organization of data into graphs—large networks of people, molecules, or ...

Civic Graph's top 20 most-connected entities The list below is based upon initial crowdsourced data from Civic Graph's user survey data. The results are likely to fluctuate as more data is added.