Future position estimation on 3D Charged Particles N-body system 1,000 timesteps (test)
0.0071MSEEGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| EGNNForward time (s)=0.0062, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0071 | |
| Radial FieldForward time (s)=0.0039, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0104 | |
| Graph Neural NetworkForward time (s)=0.0032, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0107 | |
| Tensor Field NetworkForward time (s)=0.0343, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0155 | |
| SE(3) TransformerForward time (s)=0.1346, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0244 | |
| LinearForward time (s)=0.0001, Batch size=100, Hardware=GTX 1080 Ti GPU2021.02 | 0.0819 |