Node Classification On Yelpchi
المقاييس
AUC-ROC
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | AUC-ROC |
|---|---|
| bolt-an-automated-deep-learning-framework-for | 93.18 |
| rlc-gnn-an-improved-deep-architecture-for | 85.44 |
| pick-and-choose-a-gnn-based-imbalanced | 79.87 |
| enhancing-graph-neural-network-based-fraud | 75.70 |
| lex-gnn-label-exploring-graph-neural-network | 96.40 |
| splitgnn-spectral-graph-neural-network-for | 92.03 |
| reinforced-neighborhood-selection-guided | 83.54 |
| semi-supervised-credit-card-fraud-detection-1 | 94.98 |
| new-benchmarks-for-learning-on-non | 90.04 |