When most people hear the word "graph," an image springs to mind: a pair of perpendicular lines overlaid with a line, a curve, or bars of different heights. Technically, a graph consists of two ...

Bar graphs seem like one of the simplest ways to represent data. Many people assume that the longer the bar, the bigger the number it represents. Sometimes bar graphs represent an average not a total ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...

The relentless march of digital technology (and I have to admit I’m getting really tired of saying that) assures that all organizations will adopt AI in some form to stay competitive. The accumulative ...

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 ...

Do you see it? The line graph, in the artwork above? Take another look. Whoa, right? Artist and scientist Jill Pelto combines art with scientific data to raise awareness about climate change. In this ...

Traditional relational databases are good at managing clear and simple relationships: This invoice contains these line items. This loan application contains this set of documents. This department has ...

Mathematicians have struggled to understand the moduli space of graphs. A new paper uses tools from physics to peek inside. “That’s a super hard problem. It’s amazing they were able to,” said Dan ...