1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.CO2024★ 1 cited
Reinforcement learning for graph theory, I. Reimplementation of Wagner's approach
Mohammad Ghebleh, Salem Al-Yakoob, Ali Kanso +1
We reimplement here the recent approach of Adam Zsolt Wagner [arXiv:2104.14516], which applies reinforcement learning to construct (counter)examples in graph theory, in order to ma…
math.CO2024
Reinforcement learning for graph theory, II. Small Ramsey numbers
Mohammad Ghebleh, Salem Al-Yakoob, Ali Kanso +1
We describe here how the recent Wagner's approach for applying reinforcement learning to construct examples in graph theory can be used in the search for critical graphs for small…
math.CO2024
On the Second-Order Wiener Ratios of Iterated Line Graphs
Mohammad Ghebleh, Ali Kanso
The Wiener index W(G) of a graph G is the sum of distances between all unordered pairs of its vertices. Dobrynin and Mel'nikov [in: Distance in Molecular Graphs - Theory, 2012, p.…