Multiscale network alignment model based on convolution of homogeneous multilayer graphs
Social network alignment as an important research method in network science has been widely used in several fields. Existing methods usually rely on high-quality user attribute information to complete specific tasks, but the existence of privacy protection mechanisms makes this information difficult...
Saved in:
Main Authors: | CUI Jiahao, JIANG Tao, XU Mengyao |
---|---|
Format: | Article |
Language: | zho |
Published: |
POSTS&TELECOM PRESS Co., LTD
2024-12-01
|
Series: | 智能科学与技术学报 |
Subjects: | |
Online Access: | http://www.cjist.com.cn/zh/article/doi/10.11959/j.issn.2096-6652.202445/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-scale analysis of social network based on diffusion wavelets
by: Guo-wei SHEN, et al.
Published: (2014-01-01) -
Dynamic group key management scheme for homogeneous wireless sensor networks
by: Tao WEN, et al.
Published: (2012-06-01) -
Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment
by: Yongqiang Peng, et al.
Published: (2024-11-01) -
Research on Optimization of Large-Scale Heterogeneous Combat Network Based on Graph Embedding
by: Xianzheng Meng, et al.
Published: (2025-01-01) -
Research and development of network representation learning
by: Ying YIN, et al.
Published: (2019-04-01)