IMNE: Maximizing influence through deep learning-based node embedding in social network-Reference-Cited by-同舟云学术

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IMNE: Maximizing influence through deep learning-based node embedding in social network

Published:2024-07 Issue: Volume:88 Page:101609
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Hu Qian,Jiang Jiatao,Xu Hongfeng,Kassim Murizah^ORCID

Publisher

Elsevier BV

Reference63 articles.

1. Screening of endocrine disrupting potential of surface waters via an affinity-based biosensor in a rural community in the Yellow River Basin, China;Tan;Environ Sci Technol,2022

2. Finding robust and influential nodes on directed networks using a memetic algorithm;Ou;Swarm Evol. Comput.,2024

3. Pareto-wise ranking classifier for multi-objective evolutionary neural architecture search;Ma;IEEE Trans. Evol. Comput.,2023

4. Towards a crop pest control system based on the Internet of Things and fuzzy logic;Wang;Telecommun. Syst.,2024

5. Balanced influence maximization in social networks based on deep reinforcement learning;Yang;Neural Netw.,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ENIMNR: Enhanced node influence maximization through node representation in social networks;Chaos, Solitons & Fractals;2024-09

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