Link Prediction on Cora (accuracy)
94.45AccuracyBES
Evaluation results
| Method | Links | |
|---|---|---|
| BES2026.06 | 94.45 | |
| SGNN2026.06 | 93.38 | |
| IGCL2026.06 | 92.98 | |
| GraphECL2026.06 | 92.73 | |
| GCN2026.06 | 92.3 | |
| H2GCN2026.06 | 92.27 | |
| SGC2026.06 | 91.65 | |
| SSGC2026.06 | 91.44 | |
| MPNN-GCNBackbone=GCN2026.06 | 90.97 | |
| GraphSAGE2026.06 | 90.67 | |
| Cheb2026.06 | 90.42 | |
| GAT2026.06 | 90.39 | |
| MPNN-GATBackbone=GAT2026.06 | 89.43 | |
| GATv22026.06 | 89.34 | |
| MotifRGC-SAGEBackbone=GraphSAGE2026.06 | 88.82 | |
| MotifRGC-GATBackbone=GAT2026.06 | 88.08 | |
| MPNN-SAGEBackbone=GraphSAGE2026.06 | 87.52 | |
| NodeImport-GCNBackbone=GCN2026.06 | 87.22 | |
| NodeImport-GATBackbone=GAT2026.06 | 86.97 | |
| KGNN2026.06 | 85.15 | |
| NodeImport-SAGEBackbone=GraphSAGE2026.06 | 80.07 | |
| HAT2023.10 | 79.2 | |
| H-GRAMSetup=Single Graph, Shared Labels (SG, SL)2023.10 | 79 | |
| HGCN2023.10 | 78.9 | |
| HMLP2023.10 | 76.5 | |
| MotifRGC-GCNBackbone=GCN2026.06 | 71.87 |