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

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SI2020★ 6 cited

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

Chunyuan Yuan, Jiacheng Li, Wei Zhou +3

Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…