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Models/GMT

GMT

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Graphs5 results

Graph ClassificationonToxCast
ROC-AUC· 2021-02-23
65.44
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
Graph ClassificationonBBBP
ROC-AUC· 2021-02-23
68.31
best: 72.59 (G-Tuning)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
Graph ClassificationonHIV
ROC-AUC· 2021-02-23
77.56
best: 78.2 (GTOT-Tuning)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
Graph ClassificationonTox21
ROC-AUC· 2021-02-23
77.3
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
Graph ClassificationonHIV dataset
ROC-AUC· 2021-02-23
77.56
best: 80.63 (CIN++)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533

Methodology5 results

ClassificationonToxCast
ROC-AUC· 2021-02-23
65.44
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
ClassificationonBBBP
ROC-AUC· 2021-02-23
68.31
best: 72.59 (G-Tuning)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
ClassificationonHIV
ROC-AUC· 2021-02-23
77.56
best: 78.2 (GTOT-Tuning)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
ClassificationonTox21
ROC-AUC· 2021-02-23
77.3
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533
ClassificationonHIV dataset
ROC-AUC· 2021-02-23
77.56
best: 80.63 (CIN++)
SOTA
Accurate Learning of Graph Representations with Graph Multiset Pooling arXiv:2102.11533