Graph optimisation problems encompass a diverse range of challenges aimed at finding optimal or near‐optimal solutions in networks or graphs. These problems are pivotal in areas such as communication ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
This is a preview. Log in through your library . Abstract The main result of this paper is motivated by the following two apparently unrelated graph optimization problems: (A) As an extension of ...
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