225 citations · 964 across the 37 of their papers we have counts for
4 papers · 1 filter
Profit Maximization in Social Networks and Non-monotone DR-submodular Maximization
Shuyang Gu, Chuangen Gao, Jun Huang +1
In this paper, we study the non-monotone DR-submodular function maximization over integer lattice. Functions over integer lattice have been defined submodular property that is simi…
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li, Haobo Gao, Yunxuan Gao +2
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…
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning
Tiantian Chen, Siwen Yan, Jianxiong Guo +1
Aiming at selecting a small subset of nodes with maximum influence on networks, the Influence Maximization (IM) problem has been extensively studied. Since it is #P-hard to compute…
Composite Community-Aware Diversified Influence Maximization with Efficient Approximation
Jianxiong Guo, Qiufen Ni, Weili Wu +1
Influence Maximization (IM) is a famous topic in mobile networks and social computing, which aims at finding a small subset of users to maximize the influence spread through online…