Hypernetwork dismantling via deep reinforcement learning

D Yan, W Xie, Y Zhang, Q He… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network dismantling aims to degrade the connectivity of a network by removing an optimal
set of nodes. It has been widely adopted in many real-world applications such as epidemic …
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Hypernetwork Dismantling via Deep Reinforcement Learning

D Yan, W Xie, Y Zhang, Q He… - IEEE …, 2022 - researchbank.swinburne.edu.au
Network dismantling aims to degrade the connectivity of a network by removing an optimal
set of nodes. It has been widely adopted in many real-world applications such as epidemic …

Hypernetwork Dismantling via Deep Reinforcement Learning

D Yan, W Xie, Y Zhang, Q He, Y Yang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Network dismantling aims to degrade the connectivity of a network by removing an optimal
set of nodes. It has been widely adopted in many real-world applications such as epidemic …

Hypernetwork Dismantling via Deep Reinforcement Learning

D Yan, W Xie, Y Zhang, Q He, Y Yang - arXiv preprint arXiv:2104.14332, 2021 - arxiv.org
Network dismantling aims to degrade the connectivity of a network by removing an optimal
set of nodes. It has been widely adopted in many real-world applications such as epidemic …