Complex networks offer a robust framework for understanding language and text as emergent, multi-level systems. Using graph theory, researchers represent words, punctuation, and semantic units as ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Identity management for cybersecurity is inherently a complex graph problem due to the vast, dynamic, and interconnected nature of modern IT environments. The Fast Company Executive Board is a private ...

The Google app on iOS, which has its own web browser, is adding a new “Simplify” feature when you come across complex text. When viewing a Search result or Discover article in the Google app, ...