Property Prediction on Matbench (test)
199Delta Epsilon (meV)DimeNet++
Evaluation Results
| Method | Links | |
|---|---|---|
| DimeNet++# Params=5M, Learning protocol=Optimized single-task learning2026.02 | 199 | |
| Jointly pretrained ZATOM-1, K = L/2# Params=80M + 20M, Learning protocol=Unoptimized multi-task learning, Zero-shot evaluation=true, Pre-training configuration=Jointly pretrained, Trunk layer configuration=K = L/22026.02 | 2,640 | |
| Non-pretrained ZATOM-1# Params=80M + 20M, Learning protocol=Unoptimized multi-task learning, Zero-shot evaluation=true, Pre-training configuration=Non-pretrained2026.02 | 3,358 | |
| Jointly pretrained ZATOM-1-XL# Params=300M + 20M, Learning protocol=Unoptimized multi-task learning, Zero-shot evaluation=true, Pre-training configuration=Jointly pretrained2026.02 | 3,478 | |
| Jointly pretrained ZATOM-1# Params=80M + 20M, Learning protocol=Unoptimized multi-task learning, Zero-shot evaluation=true, Pre-training configuration=Jointly pretrained2026.02 | 3,891 | |
| QM9-pretrained ZATOM-1# Params=80M + 20M, Learning protocol=Unoptimized multi-task learning, Zero-shot evaluation=true, Pre-training configuration=QM9-pretrained2026.02 | 5,297 |