A plot of the rescaled eigenvalue spectrum of horizontal visibility graphs in the Feigenbaum scenario. (Courtesy: J. Phys. A: Math. Theor. 10.1088/1751-8121/ab587f) By means of the so-called ...

Come to lab (hopefully not late). Most likely listen to a boring (but short) lecture that seems similar to stuff that was also covered in lecture class – but it’s still confusing. Look at some new ...

Understanding the network organization of the brain has been a long-standing challenge for neuroscience. In the past decade, developments in graph theory have provided many new methods for ...

Relational data has become increasingly important in decision analysis in recent years, and so mining knowledge which preserves relationships between objects is an important topic. Graphs can ...

When relationships between entities are more important than the entities themselves, you have a business problem made for graph analysis Graph analysis is not a new technology, but many analytics ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...