Node Classification on Cora word split Concept shift
68.05OOD AccuracyCIA-LRA
Evaluation Results
| Method | Links | |
|---|---|---|
| CIA-LRABackbone=GAT, Method Category=Graph-specific2024.11 | 68.05 | |
| MixupBackbone=GAT, Method Category=Graph-specific2024.11 | 65.42 | |
| CIABackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.92 | |
| MatchDGBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.83 | |
| IGABackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.56 | |
| ERMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.38 | |
| IRMBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.31 | |
| Deep CoralBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.26 | |
| SRGNNBackbone=GAT, Method Category=Graph-specific2024.11 | 64.1 | |
| GroupDROBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.07 | |
| VREXBackbone=GAT, Method Category=Non-graph-specific2024.11 | 64.02 | |
| CaNetBackbone=GAT, Method Category=Graph-specific2024.11 | 63.73 | |
| CITBackbone=GAT, Method Category=Graph-specific2024.11 | 63.6 | |
| GTransBackbone=GAT, Method Category=Graph-specific2024.11 | 62.68 | |
| EERMBackbone=GAT, Method Category=Graph-specific2024.11 | 53.02 |