Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph
Yue Yang(Wuhan University of Technology), Lun Hu(Chinese Academy of Sciences), Pengwei Hu(Xinjiang Technical Institute of Physics & Chemistry), Guodong Li(Peking University), Dongxu Li(Chinese Academy of Sciences), Jun Zhang(Chinese Academy of Sciences)
Cited by 66
Related Papers
Prevalence of Familial Hypercholesterolemia Among the General Population and Patients With Atherosclerotic Cardiovascular Disease
|Circulation|2020|554
A survey on computational models for predicting protein–protein interactions
|Briefings in Bioinformatics|2021|190
HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks
|Briefings in Bioinformatics|2021|172
A geometric deep learning framework for drug repositioning over heterogeneous information networks
|Briefings in Bioinformatics|2022|138
HiSCF: leveraging higher-order structures for clustering analysis in biological networks
|Bioinformatics|2020|130