Graph Neural Controlled Differential Equations for Traffic Forecasting.
Jeongwhan ChoiHwangyong ChoiJeehyun HwangNoseong ParkPublished in: CoRR (2021)
Keyphrases
- differential equations
- dynamical systems
- feed forward artificial neural networks
- numerical solution
- network architecture
- brownian motion
- numerical methods
- boundary value problem
- ordinary differential equations
- graph structure
- short term
- partial differential equations
- network traffic
- transmission line
- neural network
- weighted graph
- nonlinear differential equations
- traffic flow
- biologically inspired
- dynamic systems
- shortest path
- markov random field
- least squares
- image analysis
- pairwise
- difference equations
- runge kutta
- search algorithm
- image processing