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 …
networks (LBSNs), where many users tend to create different accounts on multiple platforms …
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 …
usually have multiple accounts. It is of considerable significance to conduct user identity …
Unsupervised user identity linkage via graph neural networks
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 …
has received considerable attention in both academia and industry due to its profound …
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 …
accounts belonging to the same individual among multiple social network platforms. Most …
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 …
mining. Since network structure, profile and content information describe different aspects of …
User Identity Linkage Across Social Networks Based on Neural Tensor Network
X Guo, Y Liu, X Meng, L Liu - Security and Privacy in New Computing …, 2021 - 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. The …
accounts belonging to the same individual among multiple social network platforms. The …
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 …
User identity linkage across social networks is of great importance to cross-domain …
RLINK: Deep reinforcement learning for user identity linkage
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 …
social networks (SN). Previous works tackle this problem via estimating the pairwise …
Deeplink: A deep learning approach for user identity linkage
The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …
social platforms are actually one and the same individual. Existing efforts to address this …
Graph neural networks for user identity linkage
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 …
more people to participate in multiple online social networks to enjoy their services. Each …