Regression on molesol OGB
0.757RMSEF-GIN
Evaluation Results
| Method | Links | |
|---|---|---|
| F-GINDownstream Classifier=Linear Regression + L2, Supervision=Fully supervised2021.06 | 0.757 | |
| AD-GCL-OPTDownstream Classifier=Linear Regression + L22021.06 | 0.812 | |
| DIGRAFBackbone=GIN, Activation=DIGRAF2024.07 | 0.8196 | |
| SigmoidBackbone=GIN, Activation=Sigmoid2024.07 | 0.884 | |
| AD-GCL-FIXDownstream Classifier=Linear Regression + L22021.06 | 0.897 | |
| DIGRAF (W/O ADAP.)Backbone=GIN, Activation=DIGRAF (W/O ADAP.)2024.07 | 0.9011 | |
| GraphCLDownstream Classifier=Linear Regression + L22021.06 | 0.91 | |
| NAD-GCL-OPTDownstream Classifier=Linear Regression + L22021.06 | 0.952 | |
| InfoGraphDownstream Classifier=Linear Regression + L22021.06 | 1.005 | |
| MedianBackbone=GIN, Activation=Median2024.07 | 1.049 | |
| NAD-GCL-FIXDownstream Classifier=Linear Regression + L22021.06 | 1.065 | |
| RU-GINDownstream Classifier=Linear Regression + L22021.06 | 1.075 | |
| PReLUBackbone=GIN, Activation=PReLU2024.07 | 1.098 | |
| ELUBackbone=GIN, Activation=ELU2024.07 | 1.104 | |
| GReLUBackbone=GIN, Activation=GReLU2024.07 | 1.108 | |
| MaxoutBackbone=GIN, Activation=Maxout2024.07 | 1.109 | |
| SwishBackbone=GIN, Activation=Swish2024.07 | 1.113 | |
| GeLUBackbone=GIN, Activation=GeLU2024.07 | 1.147 | |
| ReLUBackbone=GIN, Activation=ReLU2024.07 | 1.173 | |
| TanhBackbone=GIN, Activation=Tanh2024.07 | 1.19 | |
| MaxBackbone=GIN, Activation=Max2024.07 | 1.199 | |
| LeakyReLUBackbone=GIN, Activation=LeakyReLU2024.07 | 1.219 | |
| Re-training from Scratchmode=from scratch2023.04 | 1.3 | |
| IdentityBackbone=GIN, Activation=Identity2024.07 | 1.402 | |
| MetaGPmode=reusing, type=Ours2023.04 | 2.05 | |
| Vanilla Reusingmode=reusing2023.04 | 6.95 |