A Semantic-enhancement-based social network user-alignment algorithm

Y Huang, P Zhao, Q Zhang, L Xing, H Wu, H Ma - Entropy, 2023 - mdpi.com
User alignment can associate multiple social network accounts of the same user. It has
important research implications. However, the same user has various behaviors and friends …

Structural representation learning for user alignment across social networks

L Liu, X Li, WK Cheung, L Liao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Aligning users across different social networks has become increasingly studied as an
important task to social network analysis. In this paper, we propose a novel representation …

MEgo2Vec: Embedding matched ego networks for user alignment across social networks

J Zhang, B Chen, X Wang, H Chen, C Li, F Jin… - Proceedings of the 27th …, 2018 - dl.acm.org
Aligning users across multiple heterogeneous social networks is a fundamental issue in
many data mining applications. Methods that incorporate user attributes and network …

User alignment via structural interaction and propagation

A Cheng, CY Liu, C Zhou, J Tan… - 2018 International Joint …, 2018 - ieeexplore.ieee.org
User alignment between different social networks is a fundamental issue for many
applications, such as information diffusion and recommendation. In actuality, the observed …

CAMU: Cycle-consistent adversarial mapping model for user alignment across social networks

C Zheng, L Pan, P Wu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
The user alignment problem that establishes a correspondence between users across
networks is a fundamental issue in various social network analyses and applications. Since …

User alignment with jumping seed alignment information propagation

X Li, Y Su, N Gao, J Xiang… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
User Alignment is to find users belonging to a same real person on different social networks
and has become a fundamental task for many sequent applications such as cross-network …

User Alignment Across Social Networks Based On ego-Network Embedding

Y Zhen, R Hu, D Li, Y Xiao - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Cross-social network user alignment is to find users with the same identity in multiple social
networks. It has important applications in natural and scientific fields, such as link prediction …

ABNE: an attention-based network embedding for user alignment across social networks

L Liu, Y Zhang, S Fu, F Zhong, J Hu, P Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
User alignment across social networks can facilitate more information/knowledge
transferring across networks and thereby benefit several applications, including social link …

Transformer-Based User Alignment Model across Social Networks

T Lei, L Ji, G Wang, S Liu, L Wu, F Pan - Electronics, 2023 - mdpi.com
Cross-social network user identification refers to finding users with the same identity in
multiple social networks, which is widely used in the cross-network recommendation, link …

Denoise network structure for user alignment across networks via graph structure learning

L Liu, C Wang, Y Zhang, Y Wang, Q Liu… - … Conference on Data …, 2022 - Springer
User alignment aims to identify accounts of one natural person across networks.
Nevertheless, different social purposes in multiple networks and randomness of following …