Time series forecasting on Triangle 5-node graphs
2.32MSEGNeuralFlow
Evaluation results
| Method | Links | |
|---|---|---|
| GNeuralFlowBase architecture=ResNet2024.10 | 2.32 | |
| GNeuralFlowBase architecture=Coupling2024.10 | 3.21 | |
| dNRIGraph category=Graph Learn2024.10 | 3.39 | |
| LG-ODEGraph category=Graph ODE2024.10 | 3.58 | |
| NRIGraph category=Graph Learn2024.10 | 3.96 | |
| GDEGraph category=Graph ODE2024.10 | 3.99 | |
| Neural flowGraph category=No Graph, Base architecture=ResNet2024.10 | 4.01 | |
| GNeuralFlowBase architecture=GRU2024.10 | 5.41 | |
| CF-GODEGraph category=Graph ODE2024.10 | 7.19 | |
| Neural ODEGraph category=No Graph2024.10 | 8.32 | |
| Neural flowGraph category=No Graph, Base architecture=GRU2024.10 | 10.3 | |
| GRU-DGraph category=No Graph2024.10 | 11.3 | |
| Neural flowGraph category=No Graph, Base architecture=Coupling2024.10 | 12.2 |