Binary Classification on rel-stackex engage (test)
0.854ROC AUCPyG-HeteroSAGE+PyTorch Frame-ResNet
Evaluation results
| Method | Links | |
|---|---|---|
| PyG-HeteroSAGE+PyTorch Frame-ResNetRow Encoder=PyTorch Frame-ResNet, GNN=Heterogeneous GraphSAGE (PyG), Training Mode=Jointly trained2024.03 | 0.854 | |
| LightGBMTraining Data=single-table2024.03 | 0.618 |