149 citations · 286 across the 9 of their papers we have counts for
9 papers
Partial Effective Information Decomposition for Synergistic Causality
Mingzhe Yang, Shuo Wang, Jiang Zhang
Causality is a central topic in scientific inquiry, yet for complex systems, the identification and analysis of synergistic causation remain a challenging and fundamental problem.…
PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
Shuo Wang, Yun Cheng, Qingye Meng +6
Air quality forecasting (AQF) is critical for public health and environmental management, yet remains challenging due to the complex interplay of emissions, meteorology, and chemic…
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Jing Xu, Shuo Wang, Na Ying +5
Air quality prediction is a typical spatio-temporal modeling problem, which always uses different components to handle spatial and temporal dependencies in complex systems separate…
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Wei Shao, Zhiling Jin, Shuo Wang +6
Many real-world ubiquitous applications, such as parking recommendations and air pollution monitoring, benefit significantly from accurate long-term spatio-temporal forecasting (LS…
Inferring Network Structure with Unobservable Nodes from Time Series Data
Mengyuan Chen, Yan Zhang, Zhang Zhang +2
Network structures play important roles in social, technological and biological systems. However, the observable nodes and connections in real cases are often incomplete or unavail…
A Universal Framework for Reconstructing Complex Networks and Node Dynamics from Discrete or Continuous Dynamics Data
Yan Zhang, Yu Guo, Zhang Zhang +3
Many dynamical processes of complex systems can be understood as the dynamics of a group of nodes interacting on a given network structure. However, finding such interaction struct…
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang, Yanran Li, Jiang Zhang +3
When predicting PM2.5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period. In th…
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Mengyuan Chen, Jiang Zhang, Zhang Zhang +4
Network structures in various backgrounds play important roles in social, technological, and biological systems. However, the observable network structures in real cases are often…
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang, Yi Zhao, Jing Liu +4
Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamica…