Graph theory isn’t enough ... miss interactions that only arise from groups of three or more. In recent years, computer scientists have developed simplicial neural networks, which use higher-order ...

Deep in the heart of Microsoft, Jennifer Chayes and Christian Borgs lead a who's who of mathematics and computer science ... Borgs's prior university labors on graph theory and phase transitions ...

The Complex Network and Map Graph Group conducts research into these two graphs from the viewpoints of computer science and physics ... Experimentation and theory must be two halves of a whole. In ...

An innovative approach to solving a stubborn, but elementary, question in graph theory ... of networks — that arise frequently in physics, chemistry and computer science.

From here graph theory got expanded and generalized into relations between objects, finding use in fields from computer science ... make the basic structure of a network clear, but also to model ...

Graph analytics, built on the mathematics of graph theory, is used to model pairwise relationships between people, objects, or nodes in a network. It can uncover insights about the strength and ...

But in theory, there is no guarantee ... communication pathways, computer networks, and others. This also applies to chemical ...

Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links ... in an entirely different branch of graph theory. In the 1980s, computer ...

Graph Theory, the bedrock of network science, has found extensive application in dissecting the attributes of complex networks, including those of the brain. It lays out a framework for examining ...