Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning

Ma, L
Shao, Z
Li, X
Lin, Q
Li, J
Leung, VCM
Nandi, A

Open PDF

Open link

Publication date

January 2022

DOI

10.1109/TETCI.2021.3136643.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract

Joint Funds of the National Natural Science Foundation of China under Key Program under Grant U1713212; National Natural Science Foundation of China under Grants 61672358, 61572330, 61772393 and 61836005; Natural Science Foundation of Guangdong Province under grant 2017A030313338.10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62173236 61803269 61876110 61806130 61976142 U1713212 62072315 61836005); 10.13039/501100003453-Natural Science Foundation of Guangdong Province (Grant Number: 2020A1515010790); Technology Research Project of Shenzhen City (Grant Number: JCYJ20190808174801673)

Extracted data

We use cookies to provide a better user experience.

Data Protection

Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning

Abstract

Extracted data

Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning

Abstract

Extracted data

Related items

Related items