22 citations · 32 across the 5 of their papers we have counts for
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cs.LG2019★ 6 cited
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…
cs.LG2019
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…