Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu LiuYuxuan LiangChao HuangHengchang HuYushi CaoBryan HooiRoger ZimmermannPublished in: CoRR (2023)
Keyphrases
- neural network
- short term
- random walk
- back propagation
- traffic flow
- graph structure
- pattern recognition
- graph representation
- weighted graph
- real time
- neural nets
- graph theoretic
- artificial neural networks
- fuzzy logic
- network traffic
- graph databases
- traffic congestion
- financial forecasting
- traffic volume
- long term
- bipartite graph
- structured data
- backpropagation neural networks
- connected components
- multilayer perceptron
- feed forward
- neural network model
- weather forecasting
- exchange rate
- artificial neural network models
- genetic algorithm
- spanning tree
- graph model
- control system
- multi layer
- graph theory
- prediction model
- recurrent neural networks