CATE estimation on Barabási-Albert (BA) graph with network-dependent CATE
0.5165Mean MSEGraph R-Learner
Evaluation Results
| Method | Links | |
|---|---|---|
| Graph R-LearnerNuisance model architecture=GNN, Final-stage model architecture=GNN, Final-stage graph awareness=Graph-Aware2025.11 | 0.5165 | |
| Hybrid R-LearnerNuisance model architecture=MLP, Final-stage model architecture=GNN, Final-stage graph awareness=Graph-Aware2025.11 | 0.5701 | |
| GNN T-LearnerCategory=External Baseline2025.11 | 2.3834 | |
| AblationNuisance model architecture=GNN, Final-stage model architecture=Linear, Final-stage graph awareness=Graph-Blind2025.11 | 4.1659 | |
| BaselineNuisance model architecture=MLP, Final-stage model architecture=Linear, Final-stage graph awareness=Graph-Blind2025.11 | 4.8235 |