Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach
IEEE Access, 2019 The influence maximization problem is defined by identifying the seed set that has the most influence on other users in the network, which when selected, the cascading process reaches a large number of users.
Mohammed Alshahrani +4 more
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On k-greedy routing algorithms
Computational Geometry, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Huaming, Kong, Xiang-Zhi
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When the greedy algorithm fails
Discrete Optimization, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gutin, Gregory, Bang-Jensen, J., Yeo, A.
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Hybrid black widow optimization with iterated greedy algorithm for gene selection problems. [PDF]
Heliyon, 2023 Alweshah M +6 more
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Combined improved A* and greedy algorithm for path planning of multi-objective mobile robot. [PDF]
Sci Rep, 2022 Xiang D, Lin H, Ouyang J, Huang D.
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A Population-Based Iterated Greedy Algorithm for Maximizing Sensor Network Lifetime. [PDF]
Sensors (Basel), 2022 Bouamama S, Blum C, Pinacho-Davidson P.
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A Heuristic-Based Adaptive Iterated Greedy Algorithm for Lot-Streaming Hybrid Flow Shop Scheduling Problem with Consistent and Intermingled Sub-Lots. [PDF]
Sensors (Basel), 2023 Lu Y, Tang Q, Pan Q, Zhao L, Zhu Y.
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Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses. [PDF]
Entropy (Basel), 2021 Azad M +3 more
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Drug repurposing for cancer treatment through global propagation with a greedy algorithm in a multilayer network. [PDF]
Cancer Biol Med, 2021 Cheng X +8 more
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HEDV-Greedy: An Advanced Algorithm for Influence Maximization in Hypergraphs
MathematicsInfluence maximization (IM) has shown wide applicability in various fields over the past few decades, e.g., viral marketing, rumor control, and prevention of infectious diseases.
Haosen Wang, Qingtao Pan, Jun Tang
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