Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 0.2226 | JARVIS | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 0.096 | UofT | 55713 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 0.1023 | Matminer | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 0.1194 | kgcnn | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 0.0625 | CGCNN | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 0.061 | kgcnn | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 0.0423 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 0.0734 | UofT | 55713 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 0.1419 | JARVIS | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 0.0291 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 0.0331 | ALIGNN | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 0.0271 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
potnet | dft_3d | 0.0293 | DIVE@TAMU | 55713 | 06-02-2023 | CSV, JSON, run.sh, Info |
matformer_256 | dft_3d | 0.0322 | DIVE@TAMU | 55713 | 06-01-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 0.0528 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
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