Distribution distance minimization for unsupervised user identity linkage

C Li, S Wang, PS Yu, L Zheng, X Zhang, Z Li… - Proceedings of the 27th …, 2018 - dl.acm.org
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different services. Linking identical users across different social networks, also known as the …

Colink: An unsupervised framework for user identity linkage

Z Zhong, Y Cao, M Guo, Z Nie - … of the AAAI Conference on Artificial …, 2018 - ojs.aaai.org
Nowadays, it is very common for one person to be in different social networks. Linking
identical users across different social networks, also known as the User Identity Linkage …

RLINK: Deep reinforcement learning for user identity linkage

X Li, Y Cao, Q Li, Y Shang, Y Li, Y Liu, G Xu - World Wide Web, 2021 - Springer
User identity linkage is a task of recognizing the identities of the same user across different
social networks (SN). Previous works tackle this problem via estimating the pairwise …

Jora: Weakly supervised user identity linkage via jointly learning to represent and align

C Zheng, L Pan, P Wu - IEEE transactions on neural networks …, 2022 - ieeexplore.ieee.org
The user identity linkage that establishes correspondence between users across networks is
a fundamental issue in various social network applications. Efforts have recently been …

MAUIL: Multilevel attribute embedding for semisupervised user identity linkage

B Chen, X Chen - Information Sciences, 2022 - Elsevier
User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …

Variational cross-network embedding for anonymized user identity linkage

X Chu, X Fan, Z Zhu, J Bi - Proceedings of the 30th ACM International …, 2021 - dl.acm.org
User identity linkage (UIL) task aims to infer the identical users between different social
networks/platforms. Existing models leverage the labeled inter-linkages or high-quality user …

Partially shared adversarial learning for semi-supervised multi-platform user identity linkage

C Li, S Wang, H Wang, Y Liang, PS Yu, Z Li… - Proceedings of the 28th …, 2019 - dl.acm.org
With the increasing popularity and diversity of social media, users tend to join multiple social
platforms to enjoy different types of services. User identity linkage, which aims to link …

Translink: User identity linkage across heterogeneous social networks via translating embeddings

J Zhou, J Fan - IEEE INFOCOM 2019-IEEE conference on …, 2019 - ieeexplore.ieee.org
Nowadays people tend to create accounts with multiple social networks (SNs) to enjoy a
variety of social network services. User identity linkage (UIL) aims to identify those multiple …

User identity linkage across social networks via linked heterogeneous network embedding

Y Wang, C Feng, L Chen, H Yin, C Guo, Y Chu - World Wide Web, 2019 - Springer
User identity linkage has important implications in many cross-network applications, such as
user profile modeling, recommendation and link prediction across social networks. To …

User identity linkage by latent user space modelling

X Mu, F Zhu, EP Lim, J Xiao, J Wang… - Proceedings of the 22nd …, 2016 - dl.acm.org
User identity linkage across social platforms is an important problem of great research
challenge and practical value. In real applications, the task often assumes an extra degree …