COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Wei JuYusheng ZhaoYifang QinSiyu YiJingyang YuanZhiping XiaoXiao LuoXiting YanMing ZhangPublished in: CoRR (2024)
Keyphrases
- spatio temporal
- neural network
- prediction model
- spatial and temporal
- short term load forecasting
- image sequences
- graph representation
- artificial neural networks
- movement patterns
- graph theory
- traffic volume
- graph mining
- weighted graph
- backpropagation neural networks
- directed graph
- network traffic
- recurrent neural networks
- fuzzy logic
- random walk
- structured data
- short term
- pattern recognition
- bipartite graph
- chaotic time series
- space time
- real time
- genetic algorithm
- neural network model
- bp neural network
- feed forward
- back propagation
- moving objects
- self organizing maps
- backpropagation neural network
- mackey glass
- forecasting accuracy
- control system
- spatio temporal data
- feed forward neural networks
- long term
- graph databases
- graph model
- traffic flow
- support vector regression
- graph structure
- neural nets
- road network
- connected components