22 citations · 32 across the 5 of their papers we have counts for
7 papers
Heuristics for k-domination models of facility location problems in street networks
Padraig Corcoran, Andrei Gagarin
We present new greedy and beam search heuristic methods to find small-size -dominating sets in graphs. The methods are inspired by a new problem formulation which explicitly hig…
Regularization of Persistent Homology Gradient Computation
Padraig Corcoran, Bailin Deng
Persistent homology is a method for computing the topological features present in a given data. Recently, there has been much interest in the integration of persistent homology as…
An End-to-End Graph Convolutional Kernel Support Vector Machine
Padraig Corcoran
A novel kernel-based support vector machine (SVM) for graph classification is proposed. The SVM feature space mapping consists of a sequence of graph convolutional layers, which ge…
Stable and Discriminative Topological Graph Analysis
Padraig Corcoran
We propose a novel method for topological analysis of unweighted graphs which is based on \textit{persistent homology}. The proposed method maps the input graph to a complete weigh…
Deep Q-Learning for Directed Acyclic Graph Generation
Laura D'Arcy, Padraig Corcoran, Alun Preece
We present a method to generate directed acyclic graphs (DAGs) using deep reinforcement learning, specifically deep Q-learning. Generating graphs with specified structures is an im…
Function Space Pooling For Graph Convolutional Networks
Padraig Corcoran
Convolutional layers in graph neural networks are a fundamental type of layer which output a representation or embedding of each graph vertex. The representation typically encodes…