GNN-based long and short term preference modeling for next-location prediction
Next-location prediction is a special task of the next POIs recommendation. Different from
general recommendation tasks, next-location prediction is highly context-dependent:(1) …
general recommendation tasks, next-location prediction is highly context-dependent:(1) …
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
Towards mobility data science (vision paper)
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …
With the availability of GPS-equipped mobile devices and other inexpensive location …
Example-based explanations for streaming fraud detection on graphs
Fraud detection is one of the most important tasks in Web platforms such as e-commerce,
social media, network security, and financial systems. To prevent fraudulent actions from …
social media, network security, and financial systems. To prevent fraudulent actions from …
Cola: Cross-city mobility transformer for human trajectory simulation
Human trajectory data produced by daily mobile devices has proven its usefulness in
various substantial fields such as urban planning and epidemic prevention. In terms of the …
various substantial fields such as urban planning and epidemic prevention. In terms of the …
Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning
Traffic trajectories of various vehicles, bicycles and pedestrians can help understand the
traffic dynamics in a fine-grained manner like traffic flow, traffic congestion and ride-hailing …
traffic dynamics in a fine-grained manner like traffic flow, traffic congestion and ride-hailing …
Self-Explainable Next POI Recommendation
Point-of-Interest (POI) recommendation involves predicting users' next preferred POI and is
becoming increasingly significant in location-based social networks. However, users are …
becoming increasingly significant in location-based social networks. However, users are …
[HTML][HTML] An unsupervised approach for semantic place annotation of trajectories based on the prior probability
Semantic place annotation can provide individual semantics, greatly helping the field of
trajectory data mining. Most existing methods rely on annotated or external data and require …
trajectory data mining. Most existing methods rely on annotated or external data and require …
Discovering urban mobility structure: a spatio-temporal representational learning approach
The urban mobility structure is a summary of individual movement patterns and the
interaction between persons and the urban environment, which is extremely important for …
interaction between persons and the urban environment, which is extremely important for …
Mobility Data Science: Perspectives and Challenges
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …
With the availability of GPS-equipped mobile devices and other inexpensive location …