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Models/PC-GNN

PC-GNN

Reported on 10 benchmarks across 3 tasks

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

Miscellaneous4 results

  • Fraud DetectiononYelp-Fraud
    AUC-ROC
    79.87
    best: 96.4 (LEX-GNN)
  • Fraud DetectiononYelp-Fraud
    Averaged Precision
    48.1
    best: 83.56 (LEX-GNN)
  • Fraud DetectiononAmazon-Fraud
    AUC-ROC
    95.86
    best: 97.91 (LEX-GNN)
  • Fraud DetectiononAmazon-Fraud
    Averaged Precision
    85.49
    best: 92.18 (LEX-GNN)

Robots4 results

  • Active Speaker DetectiononYelp-Fraud
    AUC-ROC
    79.87
    best: 96.4 (LEX-GNN)
  • Active Speaker DetectiononYelp-Fraud
    Averaged Precision
    48.1
    best: 83.56 (LEX-GNN)
  • Active Speaker DetectiononAmazon-Fraud
    AUC-ROC
    95.86
    best: 97.91 (LEX-GNN)
  • Active Speaker DetectiononAmazon-Fraud
    Averaged Precision
    85.49
    best: 92.18 (LEX-GNN)

Graphs2 results

  • Node ClassificationonAmazon-Fraud
    AUC-ROC
    95.86
    best: 97.91 (LEX-GNN)
  • Node ClassificationonYelp-Fraud
    AUC-ROC
    79.87
    best: 96.4 (LEX-GNN)