As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

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 ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

A British ‘tech bio’ start-up, Basecamp Research, says the combination of machine learning, public datasets, and a graph-based Knowledge Graph from Neo4j is proving critical to its mission of helping ...

Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make ...