Table 1 The benchmark results on PCQM4MV2
From: Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol+
Model | # param. | # layers | Valid MAE (↓) | Leaderboard MAE1 (↓) |
---|---|---|---|---|
MLP-Fingerprint15 | 16.1M | - | 0.1735 | 0.1760 |
GCN33 | 2.0M | - | 0.1379 | 0.1398 |
GIN34 | 3.8M | - | 0.1195 | 0.1218 |
13.2M | - | 0.1167 | - | |
4.9M | - | 0.1153 | 0.1152 | |
6.7M | - | 0.1083 | 0.1084 | |
25.5M | 12 | 0.1021 | - | |
GraphGPSSMALL37 | 6.2M | 5 | 0.0938 | - |
TokenGT11 | 48.5M | 12 | 0.0910 | 0.0919 |
GRPEBASE12 | 46.2M | 12 | 0.0890 | - |
EGT13 | 89.3M | 24 | 0.0869 | 0.0872 |
GRPELARGE13 | 46.2M | 18 | 0.0867 | 0.0876 |
47.1M | 12 | 0.0864 | - | |
GraphGPSBASE37 | 19.4M | 10 | 0.0858 | - |
GraphGPSDEEP37 | 13.8M | 16 | 0.0852 | 0.0862 |
GEM-238 | 32.1M | 12 | 0.0793 | 0.0806 |
GPS++39 | 44.3M | 16 | 0.0778 | 0.07202 |
Transformer-M3 | 47.1M | 12 | 0.0787 | - |
 | 69M | 18 | 0.0772 | 0.0782 |
Uni-Mol+ | 27.7M | 6 | 0.0714   ± 6e − 5 | - |
 | 52.4M | 12 | 0.0696   ±  5e − 5 | 0.0708 |
 | 77M | 18 | 0.0693  ±  3e − 5 | 0.0705 |