COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Wei JuYusheng ZhaoYifang QinSiyu YiJingyang YuanZhiping XiaoXiao LuoXiting YanMing ZhangPublished in: Inf. Fusion (2024)
Keyphrases
- spatio temporal
- neural network
- short term load forecasting
- prediction model
- spatial and temporal
- random walk
- graph theory
- space time
- movement patterns
- graph representation
- graph structure
- neural network model
- short term
- network traffic
- traffic volume
- traffic flow
- genetic algorithm
- predictive model
- directed graph
- structured data
- back propagation
- artificial neural networks
- neural network is trained
- feed forward
- image sequences
- pattern recognition
- traffic congestion
- moving objects
- fuzzy logic
- directed acyclic graph
- backpropagation neural networks
- connected components
- social networks
- spanning tree
- graph mining
- support vector regression
- fault diagnosis
- human actions
- recurrent neural networks
- road network
- self organizing maps
- radial basis function