"Charts are not just for aesthetics; they are meant to help the brain understand data faster." " The same data represented in ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models ...

Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to ...

Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations might seem superfluous, if you’re using statistical analysis to look for patterns in a data ...

The four pillars of graph adoption This confluence of graph analytics, graph databases, graph data science, machine learning, and knowledge graphs is what makes graph a foundational technology.

Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure ...

Graphs of data are everywhere. Our children learn to draw and use bar charts in kindergarten and boxplots in the elementary grades; most newspapers and magazines regularly use graphical representation ...

Brain connectivity analysis is now at the foreground of neuroscience research. A connectivity network is characterized by a graph, where nodes represent neural elements such as neurons and brain ...