With the increasing popularity of online social network platforms, users tend to join multiple
social networks to enjoy diverse network services. User alignment across social networks …

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 …

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 …

User alignment across social networks, whose main goal is to fuse user information in
different network platforms, is a fundamental task in social network analysis. It can benefit …

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 …

User alignment between different social networks is a fundamental issue for many
applications, such as information diffusion and recommendation. In actuality, the observed …

Aligning users across multiple heterogeneous social networks is a fundamental issue in
many data mining applications. Methods that incorporate user attributes and network …

Aligning users is to recognize accounts associated with the same individuals across different
social networks. Currently, graph representation learning based and structural similarity …

User alignment (UA), a central issue for social network analysis, aims to recognize the same
natural persons across different social networks. Existing studies mainly focus on the …

The user alignment problem that establishes a correspondence between users across
networks is a fundamental issue in various social network analyses and applications. Since …