Anchor Link Prediction across Attributed Networks via Network Embedding
Presently, many users are involved in multiple social networks. Identifying the same user in different networks, also known as anchor link prediction, becomes an important problem, which can serve numerous applications, e.g., cross-network recommendation, user profiling, etc. Previous studies mainly...
Main Authors: | Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/21/3/254 |
Similar Items
-
Improving Link Prediction Accuracy of Network Embedding Algorithms via Rich Node Attribute Information
by: Weiwei Gu, et al.
Published: (2023-12-01) -
Method of Attributed Heterogeneous Network Embedding with Multiple Features
by: TANG Qi-you, ZHANG Feng-li, WANG Rui-jin, WANG Xue-ting, ZHOU Zhi-yuan, HAN Ying-jun
Published: (2022-12-01) -
Hierarchical label with imbalance and attributed network structure fusion for network embedding
by: Shu Zhao, et al.
Published: (2022-01-01) -
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks
by: Junxing Zhu, et al.
Published: (2017-08-01) -
Attribute Graph Clustering Based on Self-Supervised Spectral Embedding Network
by: Xiaolin Ning, et al.
Published: (2023-01-01)