activity
20062026
most citedThe switch Markov chain for sampling irregular graphs

26 citations · 105 across the 26 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

math.CO2020

A triangle process on regular graphs

Colin Cooper, Martin Dyer, Catherine Greenhill

Switches are operations which make local changes to the edges of a graph, usually with the aim of preserving the vertex degrees. We study a restricted set of switches, called trian…

cs.DM2020

Sampling hypergraphs with given degrees

Martin Dyer, Catherine Greenhill, Pieter Kleer +2

There is a well-known connection between hypergraphs and bipartite graphs, obtained by treating the incidence matrix of the hypergraph as the biadjacency matrix of a bipartite grap…

cs.DS2020

Balanced Allocation on Hypergraphs

Catherine Greenhill, Bernard Mans, Ali Pourmiri

We consider a variation of balls-into-bins which randomly allocates balls into bins. Following Godfrey's model (SODA, 2008), we assume that each ball , , co…

math.CO2020★ 2 cited

Spanning trees in random regular uniform hypergraphs

Catherine Greenhill, Mikhail Isaev, Gary Liang

Let denote a uniformly random -regular -uniform hypergraph on the vertex set . We establish a threshold result for the existence of a…

cs.CC2020

On the Parameterised Complexity of Induced Multipartite Graph Parameters

Ryan L. Mann, Luke Mathieson, Catherine Greenhill

We introduce a family of graph parameters, called induced multipartite graph parameters, and study their computational complexity. First, we consider the following decision problem…

math.CO2020

Mixing time of the switch Markov chain and stable degree sequences

Pu Gao, Catherine Greenhill

The switch chain is a well-studied Markov chain which can be used to sample approximately uniformly from the set of all graphs with a given degree sequence $\bo…