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Models/ContextPred

ContextPred

Reported on 8 benchmarks across 1 task · 1 paper · 4 SOTA

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

Medical8 results

Drug Discoveryonclintox
AUC· 2019-05-29
0.726
best: 0.97 (BiLSTM)
SOTA
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonBACE
AUC· 2019-05-29
0.845
best: 0.878 (TrimNet)
SOTA
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonBBBP
AUC· 2019-05-29
0.687
best: 0.92 (ProtoW-L2)
SOTA
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonSIDER
AUC· 2019-05-29
0.627
best: 0.778 (elEmBERT-V1)
SOTA
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonTox21
AUC· 2019-05-29
0.781
best: 0.961 (elEmBERT-V1)
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonHIV dataset
AUC· 2019-05-29
0.799
best: 0.851 (GraphConv + dummy super node + focal loss)
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonToxCast
AUC· 2019-05-29
0.657
best: 0.777 (TrimNet)
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265
Drug DiscoveryonMUV
AUC· 2019-05-29
0.813
best: 0.851 (TrimNet)
Strategies for Pre-training Graph Neural Networks arXiv:1905.12265