Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic
management, resource optimization, and emergence response. Despite remarkable …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

As a representative information retrieval task, site recommendation, which aims at predicting
the optimal sites for a brand or an institution to open new branches in an automatic data …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Spatio-temporal graph neural networks have demonstrated efficacy in capturing complex
dependencies for urban computing tasks such as forecasting and kriging. However, their …

Spatiotemporal (ST) learning has become a crucial technique to enable smart cities and
sustainable urban development. Current ST learning models capture the heterogeneity via …