Formation Energy On Oqm9Hk
評価指標
MAE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | MAE | Paper Title | Repository |
|---|---|---|---|
| CGNN Trio Ensemble | 0.03658 | OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science | |
| SchNet | 0.31 | SchNet: A continuous-filter convolutional neural network for modeling quantum interactions | - |
| CGNN | 0.04249 ± 0.00037 | OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science | |
| CGNN Full Ensemble | 0.03433 | OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science |
0 of 4 row(s) selected.