A Scalable Deep Network for Graph Clustering via Personalized PageRank
Recently, many models based on the combination of graph convolutional networks and deep learning have attracted extensive attention for their superior performance in graph clustering tasks. However, the existing models have the following limitations: (1) Existing models are limited by the calculatio...
Main Authors: | Yulin Zhao, Xunkai Li, Yinlin Zhu, Jin Li, Shuo Wang, Bin Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/11/5502 |
Similar Items
-
Ensemble graph auto-encoders for clustering and link prediction
by: Chengxin Xie, et al.
Published: (2025-01-01) -
Discriminative Auto-Encoder With Local and Global Graph Embedding
by: Rui Li, et al.
Published: (2020-01-01) -
Graph Embedding Models: A Survey
by: YUAN Lining, LI Xin, WANG Xiaodong, LIU Zhao
Published: (2022-01-01) -
A Co-Embedding Model with Variational Auto-Encoder for Knowledge Graphs
by: Luodi Xie, et al.
Published: (2022-01-01) -
Optimal deployment of large-scale wireless sensor networks based on graph clustering and matrix factorization
by: Hefei Gao, et al.
Published: (2023-03-01)