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papersTODAY 04:00 UTC

Unsupervised Graph Neural Network Method Targets Minimum Dominating Set

A new arXiv paper proposes an unsupervised graph neural network approach to the Minimum Dominating Set problem, an NP-hard combinatorial task. The method is aimed at applications such as influence maximization in social networks, viral marketing, and public health interventions. The work frames dominating set selection as a learning problem that does not require labeled optimal solutions.

graph-neural-networks/optimization/social-networks/research