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DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn
  Users' Dynamic Preferences for Information Diffusion Prediction

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction

9 June 2020
Chunyuan Yuan
Jiacheng Li
Wei Zhou
Yijun Lu
Xiaodan Zhang
Songlin Hu
    DiffM
ArXiv (abs)PDFHTML

Papers citing "DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction"

3 / 3 papers shown
Title
A Survey of Datasets for Information Diffusion Tasks
A Survey of Datasets for Information Diffusion Tasks
Fuxia Guo
Xiaowen Wang
Yanwei Xie
Z. J. Wang
Jingqiu Li
Lanjun Wang
16
1
0
06 Jul 2024
Improving Information Cascade Modeling by Social Topology and Dual Role
  User Dependency
Improving Information Cascade Modeling by Social Topology and Dual Role User Dependency
Baichuan Liu
Deqing Yang
Yueyi Wang
Yuchen Shi
GNN
119
8
0
07 Apr 2022
Graph Representation Learning for Popularity Prediction Problem: A
  Survey
Graph Representation Learning for Popularity Prediction Problem: A Survey
Tiantian Chen
Jianxiong Guo
Wei-Ping Wu
GNN
38
3
0
15 Mar 2022
1