Instant delivery services, such as food delivery and package delivery, h...
Street-view imagery provides us with novel experiences to explore differ...
Real-world last-mile delivery datasets are crucial for research in logis...
Traffic forecasting plays a critical role in smart city initiatives and ...
We study the task of spatio-temporal extrapolation that generates data a...
Entity names play an effective role in relation extraction (RE) and ofte...
With the development of sophisticated sensors and large database
technol...
Spatio-temporal graph neural networks (STGNN) have emerged as the domina...
Spatio-temporal graph neural networks (STGNN) have become the most popul...
Air pollution is a crucial issue affecting human health and livelihoods,...
Trajectory similarity measures act as query predicates in trajectory
dat...
Learning dynamic user preference has become an increasingly important
co...
Event cameras have recently gained in popularity as they hold strong
pot...
Entity types and textual context are essential properties for sentence-l...
Recent literature focuses on utilizing the entity information in the
sen...
We present a new neighbor sampling method on temporal graphs. In a tempo...
While transformers have shown great potential on video recognition tasks...
Crowd flow forecasting, e.g., predicting the crowds entering or leaving
...
Representing a label distribution as a one-hot vector is a common practi...
The phase function is a key element of a light propagation model for Mon...
Sensors are the key to sensing the environment and imparting benefits to...
Deep learning models are modern tools for spatio-temporal graph (STG)
fo...
We present a new method to regularize graph neural networks (GNNs) for b...
Graph Convolutional Networks (GCNs) have been widely used due to their
o...
Convolutional Neural Networks (CNNs) have been widely adopted in raster-...
The ubiquitous deployment of monitoring devices in urban flow monitoring...
Urban flow monitoring systems play important roles in smart city efforts...
Spatio-temporal (ST) data, which represent multiple time series data
cor...