TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/GTOT-Tuning

GTOT-Tuning

Reported on 16 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Graphs8 results

  • Graph ClassificationonSIDER
    ROC-AUC· 2022-03-20
    63.5
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonBACE
    ROC-AUC· 2022-03-20
    83.4
    best: 84.79 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph Classificationonclintox
    ROC-AUC· 2022-03-20
    72
    best: 74.64 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonMUV
    ROC-AUC· 2022-03-20
    80
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonBBBP
    ROC-AUC· 2022-03-20
    70
    best: 72.59 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonHIV
    ROC-AUC· 2022-03-20
    78.2
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonToxCast
    ROC-AUC· 2022-03-20
    64
    best: 65.44 (GMT)
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Graph ClassificationonTox21
    ROC-AUC· 2022-03-20
    75.6
    best: 77.3 (GMT)
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453

Methodology8 results

  • ClassificationonSIDER
    ROC-AUC· 2022-03-20
    63.5
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonBACE
    ROC-AUC· 2022-03-20
    83.4
    best: 84.79 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • Classificationonclintox
    ROC-AUC· 2022-03-20
    72
    best: 74.64 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonMUV
    ROC-AUC· 2022-03-20
    80
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonBBBP
    ROC-AUC· 2022-03-20
    70
    best: 72.59 (G-Tuning)
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonHIV
    ROC-AUC· 2022-03-20
    78.2
    SOTA
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonToxCast
    ROC-AUC· 2022-03-20
    64
    best: 65.44 (GMT)
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453
  • ClassificationonTox21
    ROC-AUC· 2022-03-20
    75.6
    best: 77.3 (GMT)
    Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportarXiv:2203.10453