A survey on influence maximization: From an ml-based combinatorial optimization

Y Li, H Gao, Y Gao, J Guo, W Wu - ACM Transactions on Knowledge …, 2023 - dl.acm.org
Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …

A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization

Y Li, H Gao, Y Gao, J Guo, W Wu - arXiv preprint arXiv:2211.03074, 2022 - arxiv.org
Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …

A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization

Y Li, H Gao, Y Gao, J Guo, W Wu - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …