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 …

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 …

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 …

Deep multi-granularity graph embedding for user identity linkage across social networks

S Fu, G Wang, S Xia, L Liu - Knowledge-Based Systems, 2020 - Elsevier
There have been increasing interests in user identity linkage (UIL) across social networks
since it supports many applications such as cross-net recommendation, link prediction, and …

User identity linkage across social networks by heterogeneous graph attention network modeling

R Wang, H Zhu, L Wang, Z Chen, M Gao, Y Xin - Applied Sciences, 2020 - mdpi.com
Today, social networks are becoming increasingly popular and indispensable, where users
usually have multiple accounts. It is of considerable significance to conduct user identity …

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function

H Gao, Y Wang, J Shao, H Shen, X Cheng - Entropy, 2022 - mdpi.com
Users participate in multiple social networks for different services. User identity linkage aims
to predict whether users across different social networks refer to the same person, and it has …

Graph neural networks for user identity linkage

W Zhang, K Shu, H Liu, Y Wang - arXiv preprint arXiv:1903.02174, 2019 - arxiv.org
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate in multiple online social networks to enjoy their services. Each …

User identity linkage across online social networks: A review

K Shu, S Wang, J Tang, R Zafarani, H Liu - Acm Sigkdd Explorations …, 2017 - dl.acm.org
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

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 …

Adversarial-enhanced hybrid graph network for user identity linkage

X Chen, X Song, G Peng, S Feng, L Nie - Proceedings of the 44th …, 2021 - dl.acm.org
In this work, we investigate the user identity linkage task across different social media
platforms based on heterogeneous multi-modal posts and social connections. This task is …