Abstract: Influence maximization in social networks is a fundamental problem in network science with applications in viral marketing, information diffusion, and opinion formation. However, privacy ...
Abstract: Influence Maximization (IM), aiming to identify a small set of highly influential nodes in social networks, is a critical problem in graph analysis. Recently, Graph Neural Networks (GNNs) ...
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