Link Prediction on Computers (test)
97.74APFSD-CAP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 97.74 | 97.69 | — | |
| Full FeaturesMissing Rate (mr)=0, Missing Type=None2026.01 | 97.35 | 97.44 | — | |
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 96.83 | 96.85 | — | |
| HGCNModel Architecture Category=ANN-R2024.10 | 96.46 | — | — | |
| Q-GCNModel Architecture Category=ANN-R2024.10 | 96.28 | — | — | |
| HyboNetModel Architecture Category=ANN-R2024.10 | 95.78 | — | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 95.56 | 95.59 | — | |
| kappa-GCNModel Architecture Category=ANN-R2024.10 | 94.8 | — | — | |
| MSGModel Architecture Category=SNN-E2024.10 | 94.45 | — | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 94.45 | 94.44 | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 93.08 | 92.95 | — | |
| SpikeGCLModel Architecture Category=SNN-E2024.10 | 92.54 | — | — | |
| GCNModel Architecture Category=ANN-E2024.10 | 92.1 | — | — | |
| GATModel Architecture Category=ANN-E2024.10 | 91.61 | — | — | |
| SpikingGCNModel Architecture Category=SNN-E2024.10 | 91.17 | — | — | |
| SGCModel Architecture Category=ANN-E2024.10 | 90.78 | — | — | |
| SAGEModel Architecture Category=ANN-E2024.10 | 90.51 | — | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 90.44 | 90.01 | — | |
| Auto-GNNMax refinement budget=100, Number of trials=102025.07 | — | — | 93.34 | |
| AutoTransferMax refinement budget=100, Number of trials=102025.07 | — | — | 93.61 | |
| DesiGNNMax refinement budget=100, Number of trials=102025.07 | — | — | 93.61 | |
| EAMax refinement budget=100, Number of trials=102025.07 | — | — | 92.89 | |
| GraphGymMax refinement budget=100, Number of trials=102025.07 | — | — | 86.7 | |
| GraphNASMax refinement budget=100, Number of trials=102025.07 | — | — | 93.04 | |
| M-DESIGNMax refinement budget=100, Number of trials=102025.07 | — | — | 93.61 | |
| NAS-Bench-GraphMax refinement budget=100, Number of trials=102025.07 | — | — | 92.94 | |
| RandomMax refinement budget=100, Number of trials=102025.07 | — | — | 93.26 | |
| RLMax refinement budget=100, Number of trials=102025.07 | — | — | 93.19 | |
| Space OptimumMax refinement budget=100, Number of trials=102025.07 | — | — | 93.61 |