An embedding-guided variable-length evolutionary algorithm for three-objective influence maximization is reported to beat NSGA-II variants, though its claimed NP-hardness proof and experimental details are missing.
Influence max- imization in social networks using an improved multi-objective particle swarm optimization.The Computer Journal, 67(6):2137–2150, 2024
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Influence Maximization Considering Influence, Cost and Time
An embedding-guided variable-length evolutionary algorithm for three-objective influence maximization is reported to beat NSGA-II variants, though its claimed NP-hardness proof and experimental details are missing.