Node Classification on PATTERN (test) using Weighted Accuracy
87.196Weighted AccuracyGRIT
Evaluation results
| Method | Links | |
|---|---|---|
| GRITparameter_budget=~500K, runs=mean of 42024.01 | 87.196 | |
| GIN-AK+parameter_budget=~500K, runs=mean of 42024.01 | 86.85 | |
| K-Subgraph SATparameter_budget=~500K, runs=mean of 42024.01 | 86.848 | |
| EGTparameter_budget=~500K, runs=mean of 42024.01 | 86.821 | |
| EXPHORMERparameter_budget=~500K, runs=mean of 42024.01 | 86.74 | |
| EIGENFORMER (feat.)parameter_budget=~500K, runs=single, attention_mechanism=node and edge feature2024.01 | 86.738 | |
| GPSparameter_budget=~500K, runs=mean of 42024.01 | 86.685 | |
| DGNparameter_budget=~500K, runs=mean of 42024.01 | 86.68 | |
| EIGENFORMERparameter_budget=~500K, runs=single2024.01 | 86.68 | |
| SANparameter_budget=~500K, runs=mean of 42024.01 | 86.581 | |
| GatedGCNparameter_budget=~500K, runs=mean of 42024.01 | 85.568 | |
| GINparameter_budget=~500K, runs=mean of 42024.01 | 85.387 | |
| GATparameter_budget=~500K, runs=mean of 42024.01 | 78.271 | |
| GCNparameter_budget=~500K, runs=mean of 42024.01 | 71.892 |