The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

People travel in the real world and leave their location history in a form of trajectories. These
trajectories do not only connect locations in the physical world but also bridge the gap …

The increasing availability of GPS-enabled devices is changing the way people interact with
the Web, and brings us a large amount of GPS trajectories representing people's location …

Urban computing for city planning is one of the most significant applications in Ubiquitous
computing. In this paper we detect flawed urban planning using the GPS trajectories of …

With the increasing popularity of location-based services, such as tour guide and location-
based social network, we now have accumulated many location data on the Web. In this …

The increasing availability of location-acquisition technologies (GPS, GSM networks, etc.)
enables people to log the location histories with spatio-temporal data. Such real-world …