Graph Regression
The regression task is similar to graph classification but using different loss function and performance metric.
Papers
Showing 1–10 of 145 papers
All datasetsZINC-500kZINCPCQM4Mv2-LSCLipophilicityPCQM4M-LSCPeptides-structZINC 100kTox21ZINC-fullESOLQM9QM9: del e
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Random Forests | RMSE@80%Train | 1.16 | — | Unverified |
| 2 | Logistic Regression | RMSE@80%Train | 1.15 | — | Unverified |
| 3 | SGC | RMSE | 1 | — | Unverified |
| 4 | AGNN | RMSE | 0.96 | — | Unverified |
| 5 | GAT | RMSE | 0.95 | — | Unverified |
| 6 | CensNet | RMSE@80%Train | 0.93 | — | Unverified |
| 7 | ARMA | RMSE | 0.89 | — | Unverified |
| 8 | RF | RMSE | 0.88 | — | Unverified |
| 9 | XGBoost | RMSE | 0.8 | — | Unverified |
| 10 | MPNN | RMSE | 0.72 | — | Unverified |