Molecular Property Prediction On Qm7
Metriken
MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | MAE | Paper Title | Repository |
|---|---|---|---|
| ChemRL-GEM | 58.9 | ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction | - |
| PretrainGNN | 113.2 | Strategies for Pre-training Graph Neural Networks | - |
| N-GramRF | 92.8 | N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules | |
| GROVER (large) | 92.0 | Self-Supervised Graph Transformer on Large-Scale Molecular Data | |
| GROVER (base) | 94.5 | Self-Supervised Graph Transformer on Large-Scale Molecular Data | |
| D-MPNN | 103.5 | Analyzing Learned Molecular Representations for Property Prediction | |
| Uni-Mol | 41.8 | Uni-Mol: A Universal 3D Molecular Representation Learning Framework | |
| N-GramXGB | 81.9 | N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules |
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