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Models/IterRefLSTM

IterRefLSTM

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Molecular Property PredictiononMUV
ROC-AUC· 2016-11-10
67
best: 99.8 (Deep-CBN)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199
Molecular Property PredictiononSIDER
ROC-AUC· 2016-11-10
70.4
best: 91.11 (BioAct-Het)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199
Molecular Property PredictiononTox21
ROC-AUC· 2016-11-10
83
best: 92.4 (Deep-CBN)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199

Medical3 results

Atomistic DescriptiononMUV
ROC-AUC· 2016-11-10
67
best: 99.8 (Deep-CBN)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199
Atomistic DescriptiononSIDER
ROC-AUC· 2016-11-10
70.4
best: 91.11 (BioAct-Het)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199
Atomistic DescriptiononTox21
ROC-AUC· 2016-11-10
83
best: 92.4 (Deep-CBN)
SOTA
Low Data Drug Discovery with One-shot Learning arXiv:1611.03199