| DumplingGNN |
- ROC-AUC
- 96.4
|
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure 2024-09-23 |
연결 없음 |
| ChemBFN |
- ROC-AUC
- 95.74
|
A Bayesian Flow Network Framework for Chemistry Tasks 2024-07-28 |
코드 1 |
| MTL-BERT |
- ROC-AUC
- 93.0
|
Pushing the boundaries of molecular property prediction for drug discovery with multitask learning BERT enhanced by SMILES enumeration 2022-12-15 |
코드 1 |
| XGBoost |
- ROC-AUC
- 90.5
|
Accurate ADMET Prediction with XGBoost 2022-04-15 |
코드 1 |
| SELFormer |
- ROC-AUC
- 90.2
|
SELFormer: Molecular Representation Learning via SELFIES Language Models 2023-04-10 |
코드 1 |
| STL-BERT |
- ROC-AUC
- 89.6
|
Pushing the boundaries of molecular property prediction for drug discovery with multitask learning BERT enhanced by SMILES enumeration 2022-12-15 |
코드 1 |
| AttrMasking |
- ROC-AUC
- 89.2
|
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development 2021-02-18 |
코드 1 · 코드 2 |
| Cano-BERT |
- ROC-AUC
- 89.2
|
Pushing the boundaries of molecular property prediction for drug discovery with multitask learning BERT enhanced by SMILES enumeration 2022-12-15 |
코드 1 |
| S-CGIB |
- ROC-AUC
- 88.75±0.49
|
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck 2025-02-20 |
코드 1 |
| AttentiveFP |
- ROC-AUC
- 85.5
|
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development 2021-02-18 |
코드 1 · 코드 2 |
| MolXPT |
- ROC-AUC
- 80.5 ± 0.5
|
MolXPT: Wrapping Molecules with Text for Generative Pre-training 2023-05-18 |
코드 1 |
| Deep-CBN |
- ROC-AUC
- 75.8
|
Integrating convolutional layers and biformer network with forward-forward and backpropagation training 2025-02-28 |
코드 1 |
| SMA |
- ROC-AUC
- 75.0
|
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning 2024-02-22 |
코드 1 |
| SPMM |
- ROC-AUC
- 73.3
|
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model 2022-11-19 |
코드 1 |
| Uni-Mol |
- ROC-AUC
- 72.9
|
Uni-Mol: A Universal 3D Molecular Representation Learning Framework 2022-09-08 |
코드 1 |
| Uni-Mol |
- ROC-AUC
- 72.9
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |
| ChemBERTa-2 (MTR-77M) |
- ROC-AUC
- 72.8
|
ChemBERTa-2: Towards Chemical Foundation Models 2022-09-05 |
코드 1 · 코드 2 |
| ChemRL-GEM |
- ROC-AUC
- 72.4
|
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction 2021-06-11 |
연결 없음 |
| D-MPNN |
- ROC-AUC
- 71.0
|
Analyzing Learned Molecular Representations for Property Prediction 2019-04-02 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| GROVER (base) |
- ROC-AUC
- 70.0
|
Self-Supervised Graph Transformer on Large-Scale Molecular Data 2020-06-18 |
코드 1 · 코드 2 · 코드 3 |
| N-GramRF |
- ROC-AUC
- 69.7
|
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules 2018-06-24 |
코드 1 |
| GROVER (large) |
- ROC-AUC
- 69.5
|
Self-Supervised Graph Transformer on Large-Scale Molecular Data 2020-06-18 |
코드 1 · 코드 2 · 코드 3 |
| N-GramXGB |
- ROC-AUC
- 69.1
|
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules 2018-06-24 |
코드 1 |
| PretrainGNN |
- ROC-AUC
- 68.7
|
Strategies for Pre-training Graph Neural Networks 2019-05-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 |
| GAL 120B |
- ROC-AUC
- 66.1
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |
| GAL 1.3B |
- ROC-AUC
- 60.4
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |
| GAL 30B |
- ROC-AUC
- 59.6
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |
| GAL 6.7B |
- ROC-AUC
- 53.5
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |
| GAL 125M |
- ROC-AUC
- 39.3
|
Galactica: A Large Language Model for Science 2022-11-16 |
코드 1 |