3 citations · 6 across the 4 of their papers we have counts for
4 papers
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Feng Xie, Zhong Zhang, Liang Li +2
Epidemic forecasting is the key to effective control of epidemic transmission and helps the world mitigate the crisis that threatens public health. To better understand the transmi…
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting
Feng Xie, Zhong Zhang, Xuechen Zhao +2
The accurate forecasting of infectious epidemic diseases is the key to effective control of the epidemic situation in a region. Most existing methods ignore potential dynamic depen…
Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting
Wei Zhao, Shiqi Zhang, Bing Zhou +1
Traffic forecasting is essential for the traffic construction of smart cities in the new era. However, traffic data's complex spatial and temporal dependencies make traffic forecas…
STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems
Wei Zhao, Shiqi Zhang, Bing Zhou +1
Air pollution and carbon emissions caused by modern transportation are closely related to global climate change. With the help of next-generation information technology such as Int…