papers

Publications (26)

math.CO2021

Maximal Intervals of Decrease and Inflection Points for Node Reliability

Jason Brown

The \textit{node reliability} of a graph is the probability that at least one node is operational and that the operational nodes can all communicate in the subgraph that they i…

math.CO2017

The shape of node reliability

Jason Brown, Lucas Mol

Given a graph whose edges are perfectly reliable and whose nodes each operate independently with probability the node reliability of is the probability that at…

math.CO2016

On the roots of the node reliability polynomial

Jason Brown, Lucas Mol

Given a graph whose edges are perfectly reliable and whose nodes each operate independently with probability the node reliability of is the probability that at…

cs.LG2025

GLL: A Differentiable Graph Learning Layer for Neural Networks

Jason Brown, Bohan Chen, Harris Hardiman-Mostow +2

Standard deep learning architectures used for classification generate label predictions with a projection head and softmax activation function. Although successful, these methods f…

math.CO2016

Restraints Permitting the Largest Number of Colourings

Jason Brown, Aysel Erey

A \textit{restraint} on is a function which assigns each vertex of a finite set of forbidden colours . A proper colouring of is said to be \textit{per…

math.CO2016

On the real roots of -Polynomials

Jason Brown, Aysel Erey

The -polynomial is given by , where is the number of partitions of the vertices of into nonempty independent s…