REM combines an autoencoder, a mixture-of-experts spread predictor, and latent-space gradient search for multiplex influence maximization, reporting gains over six baselines.
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REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
REM combines an autoencoder, a mixture-of-experts spread predictor, and latent-space gradient search for multiplex influence maximization, reporting gains over six baselines.