Cayley graphs, constructed from the algebraic structure of groups, provide a natural framework for exploring complex combinatorial properties. In these graphs, vertices represent group elements ...

“This is not something that seems plausible,” said Madhu Sudan of Harvard University. “This result suddenly says you can do it.” Most prior methods for encoding data relied on randomness in some form.

A group of mutual acquaintances or strangers is represented by a structure called a clique: a set of vertices connected by edges of the same color. The Ramsey number r (s, t) is the minimum number of ...

Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of graph data for ...

Multimodal analysis of Magnetic Resonance Imaging (MRI) data enables leveraging complementary information across multiple imaging modalities that may be incomplete when using a single modality. For ...

Francis T. Durso, Cornelia B. Rea, Tom Dayton, Graph-Theoretic Confirmation of Restructuring during Insight, Psychological Science, Vol. 5, No. 2 (Mar., 1994), pp. 94-98 ...

This post recommends using Trellis plots instead of 3D bar charts for three-dimensional (three variable) data. In Winner of the Bad Graph Contest Announced, I promised to present alternatives to ...