Crowd flow prediction has significant implications for public safety, transportation resource scheduling, and urban transportation planning. This problem involves forecasting future crowd flow by analyzing spatio-temporal features from historical ...

The task of trajectory data-based user identity linkage (UIL) aims to link users from different platforms with massive historical moving data. Although the existing studies for this task have made great efforts, they overlook a significant fact ...

Trajectory search benefits many real-world applications, such as transport planning and congestion prediction. It is typically divided into real-time search and historical search. Existing works mainly design indexes for efficient historical ...

Location-based service networks (LBSNs) have emerged as a primary source for numerous applications that attempt to understand human mobility and analyze social networks. However, mainstream studies on representation learning often consider LBSNs ...${}^{\mathrm{}}$${}^{\mathrm{}}$