Influence maximization in complex networks by using evolutionary deep reinforcement learning

L Ma, Z Shao, X Li, Q Lin, J Li… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
Influence maximization (IM) in complex networks tries to activate a small subset of seed
nodes that could maximize the propagation of influence. The studies on IM have attracted …
被引用次数：35 相关文章

Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning

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Influence maximization (IM) in complex networks tries to activate a small subset of seed
nodes that could maximize the propagation of influence. The studies on IM have attracted …

Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning

L Ma, Z Shao, X Li, Q Lin, J Li, VCM Leung, AK Nandi - 2022 - bura.brunel.ac.uk
Influence maximization (IM) in complex networks tries to activate a small subset of seed
nodes that could maximize the propagation of influence. The studies on IM have attracted …