DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting.
Dong LiHaomin YuYangli-ao GengXiaobao LiQingyong LiPublished in: IEEE BigData (2021)
Keyphrases
- spatio temporal
- dynamic networks
- network structure
- sparsely connected
- small world
- spanning tree
- graph model
- spatial and temporal
- image sequences
- fully connected
- random graphs
- path length
- communication networks
- dynamic graph
- random walk
- computer networks
- short term
- dynamic environments
- network model
- spatio temporal data
- peer to peer
- moving objects
- weighted graph
- network traffic
- neural network
- preprocessing stage
- citation networks
- wireless sensor networks
- strongly connected
- protein interaction networks
- graphical representation
- linear programming
- graph theoretic
- shortest path
- graph structure
- graph matching
- space time
- connected components
- complex networks