A Collection of Main Papers on Influence Maximization with Deep Learning

• Influence Maximization
  • Evolutionary Algorithm
  • Deep Learning
  • Reinforcement Learning
  • Miscellaneous

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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
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization	ACM TKDD	2023	Li et al.	[paper]
Deep Graph Representation Learning and Optimization for Influence Maximization	ICML	2023	Ling et al.	[paper]
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
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning	TCSS	2023	Chen et al.	[paper]
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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