Graph Classification on PROTEINS → DD Feature Shift
62.4AccuracyDSBD
Evaluation results
| Method | Links | |
|---|---|---|
| DSBD2026.04 | 62.4 | |
| G-CRD2026.04 | 60.7 | |
| LAD-GNN2026.04 | 59.5 | |
| TGS2026.04 | 59.1 | |
| SGDA2026.04 | 58.2 | |
| MuGSI2026.04 | 57.5 | |
| ClustGDD2026.04 | 56.8 | |
| TDSS2026.04 | 56.4 | |
| A2GNN2026.04 | 55.8 | |
| AdaGMLP2026.04 | 55.2 | |
| PA-BOTH2026.04 | 54.1 | |
| StruRW2026.04 | 53.2 | |
| GAA2026.04 | 52.7 | |
| USBD2026.02 | 0.662 | |
| GALA2026.02 | 0.656 | |
| SOGA2026.02 | 0.644 | |
| SF(DA)22026.02 | 0.622 | |
| GraphCTA2026.02 | 0.606 | |
| GMT2026.02 | 0.595 | |
| JacobiConv2026.02 | 0.593 | |
| SFDA_LLN2026.02 | 0.592 | |
| NVC_LLN2026.02 | 0.592 | |
| CIN2026.02 | 0.591 | |
| AutoSGNN2026.02 | 0.587 | |
| PathNN2026.02 | 0.579 | |
| GIN2026.02 | 0.573 | |
| GCN2026.02 | 0.489 | |
| WL subtree2026.02 | 0.43 |