Link Prediction on Citeseer (test)
0.977AUClrGAE 7
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| lrGAE 7Method category=Structure-based2024.10 | 0.977 | 0.972 | — | — | — | — | — | — | — | |
| MaskGAEMethod category=Structure-based2024.10 | 0.976 | 0.979 | — | — | — | — | — | — | — | |
| GiGaMAEMethod category=Feature-based2024.10 | 0.975 | 0.972 | — | — | — | — | — | — | — | |
| lrGAE 8Method category=Structure-based2024.10 | 0.971 | 0.972 | — | — | — | — | — | — | — | |
| SeeGeraMethod category=Feature-based2024.10 | 0.97 | 0.971 | — | — | — | — | — | — | — | |
| lrGAE 6Method category=Structure-based2024.10 | 0.965 | 0.964 | — | — | — | — | — | — | — | |
| S-VGAELatent Distribution=Hyperspherical, Scoring Function=Cosine Similarity (Dot Product on surface)2018.04 | 0.947 | 0.952 | — | — | — | — | — | — | — | |
| AUG-MAEMethod category=Feature-based2024.10 | 0.947 | 0.958 | — | — | — | — | — | — | — | |
| S3GCLMethod category=Standard GCL2024.10 | 0.942 | 0.938 | — | — | — | — | — | — | — | |
| (s)Graphite-VAEenhancement=neighborhood enlargement2019.05 | 0.941 | — | — | — | — | — | — | — | — | |
| S2GAEMethod category=Structure-based2024.10 | 0.94 | 0.953 | — | — | — | — | — | — | — | |
| GraphMAEMethod category=Feature-based2024.10 | 0.938 | 0.949 | — | — | — | — | — | — | — | |
| Graphite-VAE2019.05 | 0.935 | — | — | — | — | — | — | — | — | |
| GGDMethod category=Standard GCL2024.10 | 0.935 | 0.931 | — | — | — | — | — | — | — | |
| (s)VGAEenhancement=neighborhood enlargement2019.05 | 0.926 | — | — | — | — | — | — | — | — | |
| CCA-SSGMethod category=Standard GCL2024.10 | 0.925 | 0.921 | — | — | — | — | — | — | — | |
| ARVGE2019.08 | 0.924 | 0.93 | — | — | — | — | — | — | — | |
| RWR-VGAE2019.08 | 0.923 | 0.924 | — | — | — | — | — | — | — | |
| RWR-GAE2019.08 | 0.921 | 0.915 | — | — | — | — | — | — | — | |
| EPAGCLMethod category=Standard GCL2024.10 | 0.921 | 0.916 | — | — | — | — | — | — | — | |
| VGAE2019.05 | 0.92 | — | — | — | — | — | — | — | — | |
| ARGE2019.08 | 0.919 | 0.93 | — | — | — | — | — | — | — | |
| GraphMAE2Method category=Feature-based2024.10 | 0.919 | 0.934 | — | — | — | — | — | — | — | |
| Full FeaturesMissing Rate (mr)=0, Missing Type=None2026.01 | 0.9102 | 0.9159 | — | — | — | — | — | — | — | |
| KernelGCN2019.10 | 0.909 | 0.918 | — | — | — | — | — | — | — | |
| VGAEInput Features=true2016.11 | 0.908 | 0.92 | — | — | — | — | — | — | — | |
| VGAE2019.08 | 0.908 | 0.92 | — | — | — | — | — | — | — | |
| VGAE2019.10 | 0.908 | 0.92 | — | — | — | — | — | — | — | |
| GRACEMethod category=Standard GCL2024.10 | 0.904 | 0.9 | — | — | — | — | — | — | — | |
| N-VGAELatent Distribution=Normal, Scoring Function=Dot Product2018.04 | 0.903 | 0.915 | — | — | — | — | — | — | — | |
| GAEInput Features=true2016.11 | 0.895 | 0.899 | — | — | — | — | — | — | — | |
| GAE2019.08 | 0.895 | 0.899 | — | — | — | — | — | — | — | |
| GAE2019.10 | 0.895 | 0.899 | — | — | — | — | — | — | — | |
| DGIMethod category=Standard GCL2024.10 | 0.895 | 0.891 | — | — | — | — | — | — | — | |
| GAEMethod category=Structure-based2024.10 | 0.884 | 0.905 | — | — | — | — | — | — | — | |
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 0.877 | 0.8823 | — | — | — | — | — | — | — | |
| FSD-CAPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 0.8748 | 0.8782 | — | — | — | — | — | — | — | |
| BGRLMethod category=Standard GCL2024.10 | 0.858 | 0.853 | — | — | — | — | — | — | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 0.8298 | 0.8611 | — | — | — | — | — | — | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Uniform2026.01 | 0.8244 | 0.8481 | — | — | — | — | — | — | — | |
| FPMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 0.814 | 0.8362 | — | — | — | — | — | — | — | |
| Spectral Clustering (SC)Input Features=false2016.11 | 0.805 | 0.85 | — | — | — | — | — | — | — | |
| DeepWalk (DW)Input Features=false2016.11 | 0.805 | 0.836 | — | — | — | — | — | — | — | |
| SC2019.08 | 0.805 | 0.85 | — | — | — | — | — | — | — | |
| DW2019.08 | 0.805 | 0.836 | — | — | — | — | — | — | — | |
| PCFIMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 0.8013 | 0.8372 | — | — | — | — | — | — | — | |
| VGAEInput Features=false2016.11 | 0.789 | 0.841 | — | — | — | — | — | — | — | |
| GAEInput Features=false2016.11 | 0.787 | 0.841 | — | — | — | — | — | — | — | |
| ITRMissing Rate (mr)=0.995, Missing Type=Structural2026.01 | 0.7135 | 0.733 | — | — | — | — | — | — | — | |
| GAE_fMethod category=Feature-based2024.10 | 0.706 | 0.708 | — | — | — | — | — | — | — | |
| (s)Graphite-VAEevaluation_protocol=10-fold cross-validation2019.05 | — | 0.954 | — | — | — | — | — | — | — | |
| (s)VGAEevaluation_protocol=10-fold cross-validation2019.05 | — | 0.943 | — | — | — | — | — | — | — | |
| AA2023.01 | — | — | — | — | — | 0.3519 | — | — | — | |
| Auto-GNNMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74.68 | — | |
| AutoTransferMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 73.35 | — | |
| BUDDYInductive=true2024.05 | — | — | — | — | — | 0.9293 | — | — | — | |
| BUDDY2023.01 | — | — | — | — | — | 0.9293 | — | — | — | |
| CN2023.01 | — | — | — | — | — | 0.2979 | — | — | — | |
| DesiGNNMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 75.11 | — | |
| EAMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74 | — | |
| EHDMDistillation=Teacher-Student, Teacher=Ensemble Heuristics2025.04 | — | — | — | — | — | — | — | — | 79.08 | |
| GAT-MLPDistillation=Teacher-Student, Teacher=GAT2025.04 | — | — | — | — | — | — | — | — | 74.95 | |
| GCNInductive=true2024.05 | — | — | — | — | — | 0.8967 | 51.5 | — | — | |
| GCN2023.01 | — | — | — | — | — | 0.6708 | — | — | — | |
| GCN-MLPDistillation=Teacher-Student, Teacher=GCN2025.04 | — | — | — | — | — | — | — | — | 76.53 | |
| GraphGymMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 71.91 | — | |
| Graphite-VAEevaluation_protocol=10-fold cross-validation2019.05 | — | 0.95 | — | — | — | — | — | — | — | |
| GraphNASMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74.18 | — | |
| GraphSAGE2023.01 | — | — | — | — | — | 0.5701 | — | — | — | |
| M-DESIGNMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74.98 | — | |
| MTGAEscenario=MTL (Multi-Task Learning)2018.11 | — | — | 0.949 | — | — | — | — | — | — | |
| NAS-Bench-GraphMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 71.91 | — | |
| NBFnetInductive=true2024.05 | — | — | — | — | — | 0.7407 | — | — | — | |
| NCNInductive=true2024.05 | — | — | — | — | — | 0.9156 | — | — | — | |
| NCN-MLPDistillation=Teacher-Student, Teacher=NCN2025.04 | — | — | — | — | — | — | — | — | 79.29 | |
| Neo-GNNInductive=true2024.05 | — | — | — | — | — | 0.8467 | — | — | — | |
| NIDGCNInductive=true2024.05 | — | — | — | — | — | 0.8856 | 9.1 | — | — | |
| PoS+2023.01 | — | — | — | — | — | 0.9479 | — | — | — | |
| RandomMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74.24 | — | |
| RLMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 74.24 | — | |
| SAGE-MLPDistillation=Teacher-Student, Teacher=GraphSAGE2025.04 | — | — | — | — | — | — | — | — | 73.27 | |
| SEALInductive=true2024.05 | — | — | — | — | — | 0.8389 | — | — | — | |
| SEAL2023.01 | — | — | — | — | — | 0.8389 | — | — | — | |
| Space OptimumMax refinement budget=100, Number of trials=102025.07 | — | — | — | — | — | — | — | 77.66 | — | |
| VGAEscenario=task-specific2018.11 | — | — | 0.914 | — | — | — | — | — | — | |
| VGAEevaluation_protocol=10-fold cross-validation2019.05 | — | 0.942 | — | — | — | — | — | — | — |