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Molecular Property Prediction
벤치마크
Molecular Property Prediction on
SIDER
38개 결과 ·
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ROC-AUC
54
63.28
72.56
81.83
91.11
2016-11
2026-09
IterRefLSTM — 70.4 (2016-11-10)
IterRefLSTM — 70.4 (2016-11-10)
N-GramRF — 66.8 (2018-06-24)
N-GramXGB — 65.5 (2018-06-24)
N-GramRF — 66.8 (2018-06-24)
N-GramXGB — 65.5 (2018-06-24)
D-MPNN — 57.0 (2019-04-02)
D-MPNN — 57.0 (2019-04-02)
PretrainGNN — 62.7 (2019-05-29)
PretrainGNN — 62.7 (2019-05-29)
GROVER (large) — 65.4 (2020-06-18)
GROVER (base) — 64.8 (2020-06-18)
GROVER (large) — 65.4 (2020-06-18)
GROVER (base) — 64.8 (2020-06-18)
ChemRL-GEM — 67.2 (2021-06-11)
ChemRL-GEM — 67.2 (2021-06-11)
Uni-Mol — 65.9 (2022-09-08)
Uni-Mol — 65.9 (2022-09-08)
GAL 120B — 63.2 (2022-11-16)
GAL 30B — 61.3 (2022-11-16)
GAL 125M — 55.9 (2022-11-16)
GAL 6.7B — 55.9 (2022-11-16)
GAL 1.3B — 54.0 (2022-11-16)
GAL 120B — 63.2 (2022-11-16)
GAL 30B — 61.3 (2022-11-16)
GAL 125M — 55.9 (2022-11-16)
GAL 6.7B — 55.9 (2022-11-16)
GAL 1.3B — 54.0 (2022-11-16)
SPMM — 64.7 (2022-11-19)
SPMM — 64.7 (2022-11-19)
MolXPT — 71.7 (2023-05-18)
MolXPT — 71.7 (2023-05-18)
BioAct-Het — 91.11 (2023-10-15)
BioAct-Het — 91.11 (2023-10-15)
S-CGIB — 64.03 (2025-02-20)
S-CGIB — 64.03 (2025-02-20)
Deep-CBN — 78.2 (2025-02-28)
Deep-CBN — 78.2 (2025-02-28)
IterRefLSTM — 70.4 (2016-11-10)
MolXPT — 71.7 (2023-05-18)
BioAct-Het — 91.11 (2023-10-15)
2016-11-10 — IterRefLSTM: ROC-AUC 70.4
2023-05-18 — MolXPT: ROC-AUC 71.7
2023-10-15 — BioAct-Het: ROC-AUC 91.11
Rank
Model
ROC-AUC
Paper
Code
Year
1
BioAct-Het
91.11
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representatio
CBRC-lab/BioAct-Het
2023
2
Deep-CBN
78.2
Integrating convolutional layers and biformer network with forward-forward and backpropagation training
akianfar/Deep-CBN
2025
3
MolXPT
71.7
MolXPT: Wrapping Molecules with Text for Generative Pre-training
zequnl/molxpt
2023
4
IterRefLSTM
70.40
Low Data Drug Discovery with One-shot Learning
2016
5
ChemRL-GEM
67.2
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
2021
6
N-GramRF
66.8
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
chao1224/n_gram_graph
2018
7
Uni-Mol
65.9
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
dptech-corp/Uni-Mol
2022
8
N-GramXGB
65.5
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
chao1224/n_gram_graph
2018
9
GROVER (large)
65.4
Self-Supervised Graph Transformer on Large-Scale Molecular Data
deepchem/deepchem
·
tencent-ailab/grover
·
dengjianyuan/respite_mpp
2020
10
GROVER (base)
64.8
Self-Supervised Graph Transformer on Large-Scale Molecular Data
deepchem/deepchem
·
tencent-ailab/grover
·
dengjianyuan/respite_mpp
2020
11
SPMM
64.7
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
jinhojsk515/SPMM
2022
12
S-CGIB
64.03±1.04
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
NSLab-CUK/S-CGIB
2025
13
GAL 120B
63.2
Galactica: A Large Language Model for Science
paperswithcode/galai
2022
14
PretrainGNN
62.7
Strategies for Pre-training Graph Neural Networks
snap-stanford/pretrain-gnns
·
snap-stanford/pretrain-gnns
·
gnn4dr/DRKG
·
+8
2019
15
GAL 30B
61.3
Galactica: A Large Language Model for Science
paperswithcode/galai
2022
16
D-MPNN
57.0
Analyzing Learned Molecular Representations for Property Prediction
swansonk14/chemprop
·
jbr-ai-labs/lipophilicity-prediction
·
anonymous20201002/chemprop
·
+1
2019
17
GAL 125M
55.9
Galactica: A Large Language Model for Science
paperswithcode/galai
2022
17
GAL 6.7B
55.9
Galactica: A Large Language Model for Science
paperswithcode/galai
2022
19
GAL 1.3B
54.0
Galactica: A Large Language Model for Science
paperswithcode/galai
2022
20
BioAct-Het
91.11
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representatio
CBRC-lab/BioAct-Het
2023
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