JARUA: Joint Embedding of Attributes and Relations for User Alignment across Social Networks
User alignment (UA), a central issue for social network analysis, aims to recognize the same natural persons across different social networks. Existing studies mainly focus on the positive effects of incorporating user attributes and network structure on UA. However, there have been few in-depth stu...
Main Authors: | Min Yang, Baiyang Chen, Xiaoliang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/24/12709 |
Similar Items
-
Transformer-Based User Alignment Model across Social Networks
by: Tianliang Lei, et al.
Published: (2023-04-01) -
Network Alignment across Social Networks Using Multiple Embedding Techniques
by: Van-Vang Le, et al.
Published: (2022-10-01) -
A Semantic-Enhancement-Based Social Network User-Alignment Algorithm
by: Yuanhao Huang, et al.
Published: (2023-01-01) -
Joint Alignment of Image Faces
by: Gang Zhang, et al.
Published: (2020-01-01) -
Novel Method of Edge-Removing Walk for Graph Representation in User Identity Linkage
by: Xiaqing Xie, et al.
Published: (2024-02-01)