Node Classification on CBAS color split Concept shift
78.34OOD Test AccuracyCIA-LRA
Evaluation Results
| Method | Links | |
|---|---|---|
| CIA-LRABackbone=GAT, Method Category=Graph-specific2024.11 | 78.34 | |
| Deep CoralBackbone=GAT, Method Category=Non-graph-specific2024.11 | 75.95 | |
| CaNetBackbone=GAT, Method Category=Graph-specific2024.11 | 75.95 | |
| MatchDGBackbone=GAT, Method Category=Non-graph-specific2024.11 | 75.24 | |
| CIABackbone=GAT, Method Category=Non-graph-specific2024.11 | 74.76 | |
| ERMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 74.52 | |
| GroupDROBackbone=GAT, Method Category=Non-graph-specific2024.11 | 73.81 | |
| VREXBackbone=GAT, Method Category=Non-graph-specific2024.11 | 73.57 | |
| GTransBackbone=GAT, Method Category=Graph-specific2024.11 | 73.57 | |
| IRMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 73.33 | |
| MixupBackbone=GAT, Method Category=Graph-specific2024.11 | 73.33 | |
| SRGNNBackbone=GAT, Method Category=Graph-specific2024.11 | 72.38 | |
| IGABackbone=GAT, Method Category=Non-graph-specific2024.11 | 70.95 | |
| CITBackbone=GAT, Method Category=Graph-specific2024.11 | 70.24 | |
| EERMBackbone=GAT, Method Category=Graph-specific2024.11 | 60.95 |