DSANE: A Dual Structure-Aware Network Embedding Approach for User Identity Linkage

Z Xiong, X Xie, X Wu, Y Peng… - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
Increasing popularity and diversity of social media networks has encouraged people to
participate on multiple online social networks. Thus, linking account across different …

User identity linkage across social networks via community preserving network embedding

X Guo, Y Liu, L Liu, G Zhang, J Chen… - Information Security and …, 2020 - Springer
Abstract User Identity Linkage (UIL) across social networks refers to the recognition of the
accounts belonging to the same individual among multiple social network platforms. Most …

A semi-supervised framework with efficient feature extraction and network alignment for user identity linkage

Z Hu, J Wang, S Chen, X Du - … , DASFAA 2021, Taipei, Taiwan, April 11–14 …, 2021 - Springer
Nowadays, people tend to join multiple social networks to enjoy different kinds of services.
User identity linkage across social networks is of great importance to cross-domain …

A novel framework with information fusion and neighborhood enhancement for user identity linkage

S Chen, J Wang, X Du, Y Hu - ECAI 2020, 2020 - ebooks.iospress.nl
User identity linkage across social networks is an essential problem for cross-network data
mining. Since network structure, profile and content information describe different aspects of …

User identity linkage via graph convolutional network across location-based social networks

Q Li, Q Zhou, W Chen, L Zhao - International Conference on Web …, 2023 - Springer
In the past few decades, we have witnessed the flourishing of location-based social
networks (LBSNs), where many users tend to create different accounts on multiple platforms …

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 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 …

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 …

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 …

Unsupervised user identity linkage via graph neural networks

F Zhou, Z Wen, T Zhong, G Trajcevski… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
User identity linkage (UIL) aims to link identical users engaging in multiple social networks. It
has received considerable attention in both academia and industry due to its profound …