Link Prediction on Photo (test)
98.08APFSD-CAP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 98.08 | 98.16 | — | |
| Full FeaturesMissing Rate (mr)=0, Missing Type=None2026.01 | 97.61 | 97.85 | — | |
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 97.32 | 97.55 | — | |
| ITRMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 96.96 | 97.11 | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 96.9 | 97.07 | — | |
| HyboNetModel Architecture Category=ANN-R2024.10 | 96.79 | — | — | |
| Q-GCNModel Architecture Category=ANN-R2024.10 | 96.65 | — | — | |
| MSGModel Architecture Category=SNN-E2024.10 | 96.46 | — | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 96.02 | 96.41 | — | |
| SpikeGCLModel Architecture Category=SNN-E2024.10 | 95.16 | — | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 94.51 | 94.97 | — | |
| HGCNModel Architecture Category=ANN-R2024.10 | 93.86 | — | — | |
| kappa-GCNModel Architecture Category=ANN-R2024.10 | 93.5 | — | — | |
| SpikingGCNModel Architecture Category=SNN-E2024.10 | 93.16 | — | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 91.11 | 91.44 | — | |
| SGCModel Architecture Category=ANN-E2024.10 | 90.05 | — | — | |
| SAGEModel Architecture Category=ANN-E2024.10 | 88.4 | — | — | |
| GATModel Architecture Category=ANN-E2024.10 | 87.04 | — | — | |
| GCNModel Architecture Category=ANN-E2024.10 | 86.43 | — | — | |
| Auto-GNNMax refinement budget=100, Number of trials=102025.07 | — | — | 94.08 | |
| AutoTransferMax refinement budget=100, Number of trials=102025.07 | — | — | 93.98 | |
| DesiGNNMax refinement budget=100, Number of trials=102025.07 | — | — | 94.33 | |
| EAMax refinement budget=100, Number of trials=102025.07 | — | — | 94.17 | |
| GraphGymMax refinement budget=100, Number of trials=102025.07 | — | — | 93 | |
| GraphNASMax refinement budget=100, Number of trials=102025.07 | — | — | 93.99 | |
| M-DESIGNMax refinement budget=100, Number of trials=102025.07 | — | — | 94.44 | |
| NAS-Bench-GraphMax refinement budget=100, Number of trials=102025.07 | — | — | 93 | |
| RandomMax refinement budget=100, Number of trials=102025.07 | — | — | 93.94 | |
| RLMax refinement budget=100, Number of trials=102025.07 | — | — | 94.06 | |
| Space OptimumMax refinement budget=100, Number of trials=102025.07 | — | — | 94.44 |