ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.07378
  4. Cited By
DISCO: Influence Maximization Meets Network Embedding and Deep Learning

DISCO: Influence Maximization Meets Network Embedding and Deep Learning

18 June 2019
Hui Li
Mengting Xu
S. Bhowmick
Changsheng Sun
Zhongyuan Jiang
Jiangtao Cui
    BDL
ArXivPDFHTML

Papers citing "DISCO: Influence Maximization Meets Network Embedding and Deep Learning"

9 / 9 papers shown
Title
Deep Graph Representation Learning and Optimization for Influence
  Maximization
Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling
Junji Jiang
Junxiang Wang
My T. Thai
Lukas Xue
James Song
M. Qiu
Liang Zhao
30
99
0
01 May 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
29
38
0
06 Nov 2022
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep
  Reinforcement Learning
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning
Tiantian Chen
Siwen Yan
Jianxiong Guo
Weili Wu
30
23
0
14 Oct 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management
  with Task Migrations
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations
G. Tong
27
2
0
21 Sep 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale
  Combinatorial Optimisation
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
David Ireland
Giovanni Montana
GNN
14
10
0
20 May 2022
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via
  Multi-Agent Hierarchical Reinforcement Learning
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
Thai Le
Long Tran-Thanh
tql
AAML
19
7
0
20 Oct 2021
Contingency-Aware Influence Maximization: A Reinforcement Learning
  Approach
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen
Wei Qiu
H. Ou
Bo An
Milind Tambe
16
19
0
13 Jun 2021
Hypernetwork Dismantling via Deep Reinforcement Learning
Hypernetwork Dismantling via Deep Reinforcement Learning
Dengcheng Yan
Wenxin Xie
Yiwen Zhang
Qiang He
Yun Yang
19
15
0
29 Apr 2021
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence
  over Unseen Networks
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks
Jihoon Ko
Kyuhan Lee
Kijung Shin
Noseong Park
22
3
0
24 Jan 2020
1