Leading graph ordinary differential equation (ODE) models have offered generalized
strategies to model interacting multi-agent dynamical systems in a data-driven approach …

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 …

Abstract Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the
development and operation of the smart city. As an emerging building block, multi-sourced …

With the digitization of modern cities, large data volumes and powerful computational
resources facilitate the rapid update of intelligent models deployed in smart cities. Continual …

Travel Time Estimation (TTE) aims to accurately forecast the expected trip duration from an
origin to a destination. As one of the world's largest ride-hailing platforms, DiDi answers …

Shortest path counting computes the number of shortest paths between two vertices on a
graph, which can be used in the applications such as social network search and POI (Point …

A geospatial Knowledge Graph (KG) is a heterogeneous information network, capable of
representing relationships between spatial entities in a machine-interpretable format, and …

With an increasing popularity, Multiplayer Online Battle Arena (MOBA) games where two
opposing teams compete against each other, have played a major role in E-sports …

Dynamic recommendation systems, where users interact with items continuously over time,
have been widely deployed in real-world online streaming applications. The burst of …

The past few years have witnessed an explosive growth of user-generated POI-centric travel
blogs, which can provide a comprehensive understanding of a POI for people. However …