Model for ehull
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
matminer_rf | dft_3d | 0.112 | UofT | 55364 | 05-22-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 0.173 | CGCNN | 55364 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 0.0569 | kgcnn | 55364 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 0.0601 | UofT | 55364 | 05-22-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 0.0485 | kgcnn | 55364 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 0.0763 | ALIGNN | 55364 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 0.0466 | kgcnn | 55364 | 05-06-2023 | CSV, JSON, run.sh, Info |
potnet | dft_3d | 0.0522 | DIVE@TAMU | 55364 | 06-02-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 0.3685 | kgcnn | 55364 | 05-06-2023 | CSV, JSON, run.sh, Info |
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