Influence Maximization with Deep Learning

Posted:   October 05, 2022

Status:   Completed

Tags :   summary

Categories :   Influence-Maximization

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A Collection of Main Papers on Influence Maximization with Deep Learning

Evolutionary Algorithm

Paper Title Venue Year Authors Materials Comment
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning TETCI 2022 Ma et al. [paper]  

Deep Learning

Paper Title Venue Year Authors Materials Comment
Influence maximization in social networks using transfer learning via graph-based LSTM ESWA 2023 Kumar et al. [paper]  
Influence maximization in social networks using graph embedding and graph neural network IS 2022 Kumar et al. [paper]  
Network Dynamic GCN Influence Maximization Algorithm With Leader Fake Labeling Mechanism TCSS 2022 Zhang et al. [paper]  
A new approach for evaluating node importance in complex networks via deep learning methods NC 2022 Zhang et al. [paper]  
Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network ESWA 2022 Ou et al. [paper] [code]  

Reinforcement Learning

Paper Venue Year Authors Materials Comment
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization arkiv 2022 Munikoti et al. [paper] [code]  
PIANO: Influence Maximization Meets Deep Reinforcement Learning TCSS 2022 Li et al. [paper] [code]  
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning TETCI 2022 Ma et al. [paper]  
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NIPS 2020 Manchanda et al. [paper] [code]  
A Reinforcement Learning Model for Influence Maximization in Social Networks DSAA 2020 Wang et al. [paper]  
Finding key players in complex networks through deep reinforcement learning NMI 2020 Fan et al. [paper] [code]  

Miscellaneous

Paper Venue Year Authors Materials Comment
A promotive structural balance model based on reinforcement learning for signed social networks NCA 2022 Yang et al. [paper]  
Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning ASONAM 2020 Ali et al. [paper]  
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization arkiv 2022 Huang et al. [paper]  
Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks TCSS 2022 He et al. [paper]  
Online influence maximization in the absence of network structure KBS 2022 He et al. [paper]  
Efficient information diffusion in time-varying graphs through deep reinforcement learning WWW 2022 Mendonca et al. [paper] [code]  
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem WSDM 2022 Ma et al. [paper] [code]  
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization KIS 2022 Ali et al. [paper] [code]  
Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Chen et al. [paper] [code]  
NEDRL-CIM:Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks DSAA 2021 Ali et al. [paper]  
Multiple Agents Reinforcement Learning Based Influence Maximization in Social Network Services ICSOC 2021 Liu et al. [paper]  
Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning KSEM 2020 Tong et al. [paper]  

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