Node Classification on CBAS color split Covariate shift
75.24OOD AccuracyCIA-LRA
Evaluation Results
| Method | Links | |
|---|---|---|
| CIA-LRABackbone=GAT, Method Category=Graph-specific2024.11 | 75.24 | |
| CIABackbone=GAT, Method Category=Non-graph-specific2024.11 | 69.05 | |
| SRGNNBackbone=GAT, Method Category=Graph-specific2024.11 | 68.09 | |
| CaNetBackbone=GAT, Method Category=Graph-specific2024.11 | 68.09 | |
| GroupDROBackbone=GAT, Method Category=Non-graph-specific2024.11 | 67.62 | |
| MatchDGBackbone=GAT, Method Category=Non-graph-specific2024.11 | 67.15 | |
| VREXBackbone=GAT, Method Category=Non-graph-specific2024.11 | 66.67 | |
| IGABackbone=GAT, Method Category=Non-graph-specific2024.11 | 65.71 | |
| ERMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 65.24 | |
| IRMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 65.24 | |
| Deep CoralBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.76 | |
| MixupBackbone=GAT, Method Category=Graph-specific2024.11 | 63.33 | |
| GTransBackbone=GAT, Method Category=Graph-specific2024.11 | 61.9 | |
| CITBackbone=GAT, Method Category=Graph-specific2024.11 | 61.43 | |
| EERMBackbone=GAT, Method Category=Graph-specific2024.11 | 60.47 |