Node Classification on Cora (Accuracy)
88.77AccuracyGCN
Evaluation Results
| Method | Links | |
|---|---|---|
| GCNSetting=Transductive2024.05 | 88.77 | |
| PCNet2025.09 | 88.41 | |
| GCNII2025.09 | 88.37 | |
| GloGNN++2025.09 | 88.33 | |
| GATSetting=Transductive2024.05 | 88.22 | |
| BEC-GCN2025.09 | 88.21 | |
| WRGAT2025.09 | 88.2 | |
| AxelGNN2025.09 | 88.18 | |
| PolynormerSetting=Transductive2024.05 | 88.11 | |
| GNRF2025.09 | 87.99 | |
| GPRGNNSetting=Transductive2024.05 | 87.95 | |
| GPRGNN2025.09 | 87.95 | |
| GGCN2025.09 | 87.95 | |
| ACM-GCN2025.09 | 87.91 | |
| NIDGCNSetting=Transductive2024.05 | 87.88 | |
| APPNPSetting=Transductive2024.05 | 87.87 | |
| H2GCN2025.09 | 87.87 | |
| SGFormerSetting=Transductive2024.05 | 87.83 | |
| MixHop2025.09 | 87.61 | |
| NIDGATSetting=Transductive2024.05 | 87.35 | |
| GAT2025.09 | 87.3 | |
| Graph-MLPSetting=Transductive2024.05 | 87.06 | |
| AxelGNNSim2025.09 | 87.03 | |
| GCN2025.09 | 86.98 | |
| GraphSAGE2025.09 | 86.9 | |
| DirGNN2025.09 | 86.78 | |
| VQGraphSetting=Transductive2024.05 | 86.11 | |
| LINKX2025.09 | 84.64 | |
| GraphMAElearning_mode=unsupervised, dim=5122024.05 | 84.2 | |
| GraphACL2025.09 | 84.2 | |
| CCA-SSGlearning_mode=unsupervised, dim=5122024.05 | 84 | |
| CCA-SSG2025.09 | 84 | |
| SDMG2025.09 | 83.6 | |
| MVGRLlearning_mode=unsupervised, dim=5122024.05 | 83.5 | |
| InfoGCLlearning_mode=unsupervised, dim=5122024.05 | 83.5 | |
| SERBackbone=GAT2026.05 | 83.44 | |
| CPBackbone=GAT2026.05 | 83.3 | |
| P-regBackbone=GCN2026.05 | 83.25 | |
| R-regBackbone=GAT2026.05 | 83.17 | |
| SP-GCL2025.09 | 83.16 | |
| SPGCL2026.01 | 83.1 | |
| NASABackbone=GAT2026.05 | 83.07 | |
| MVGRL2025.09 | 82.9 | |
| VanillaBackbone=GAT2026.05 | 82.9 | |
| SERBackbone=GCN2026.05 | 82.85 | |
| LapRBackbone=GAT2026.05 | 82.81 | |
| PolyGCL2025.09 | 82.74 | |
| GMI2025.09 | 82.7 | |
| BGRL2025.09 | 82.7 | |
| P-regBackbone=GAT2026.05 | 82.45 | |
| CPBackbone=GCN2026.05 | 82.44 | |
| AFGRL2025.09 | 82.31 | |
| DGIlearning_mode=unsupervised, dim=5122024.05 | 82.3 | |
| DGI2025.09 | 82.3 | |
| R-regBackbone=GCN2026.05 | 82.29 | |
| GCN2024.02 | 82.2 | |
| EPAGCL2025.09 | 82.14 | |
| LapRBackbone=GCN2026.05 | 82.13 | |
| ESA2024.02 | 82 | |
| VanillaBackbone=GCN2026.05 | 81.54 | |
| Pro-GNN2026.01 | 81.3 | |
| LOHA2025.09 | 81.22 | |
| NASABackbone=GCN2026.05 | 81.03 | |
| GraphSAGE2026.01 | 80.9 | |
| NIDMAElearning_mode=unsupervised, dim=62024.05 | 80.8 | |
| GAT2026.01 | 80.8 | |
| DropEdge2026.01 | 80.7 | |
| LDS2026.01 | 80.6 | |
| GAT2024.02 | 80.3 | |
| GCN2026.01 | 80.1 | |
| SGC2026.01 | 80 | |
| GRACE2025.09 | 80 | |
| GIN2024.02 | 78.6 | |
| GATv22024.02 | 78.5 | |
| GCN-MLP2025.09 | 77.26 | |
| HiTeC2025.08 | 74.07 | |
| PNA2024.02 | 71.6 | |
| GAElearning_mode=unsupervised, dim=162024.05 | 71.5 | |
| Geom-GCN2026.01 | 70.8 | |
| SCGFMPre-training Domain=Trained on N2 (OOD), Evaluation protocol=5-shot2026.05 | 70.55 | |
| SCGFMPre-training Domain=In-Domain, Evaluation protocol=5-shot2026.05 | 70.54 | |
| GPS2024.02 | 69.8 | |
| S2GAEPre-training Domain=In-Domain, Evaluation protocol=5-shot2026.05 | 66.83 | |
| SA2GFMshots=5-shot, attack=targeted evasion attack, p=22025.11 | 66.3 | |
| SE-HSSLText Encoder=BERT2025.08 | 64.3 | |
| MDGFMshots=5-shot, attack=targeted evasion attack, p=22025.11 | 63.4 | |
| SE-HSSLText Encoder=RoBERTa2025.08 | 62.76 | |
| TriCLText Encoder=BERT2025.08 | 62.67 | |
| GraphCLPre-training Domain=In-Domain, Evaluation protocol=5-shot2026.05 | 60.82 | |
| TriCLText Encoder=RoBERTa2025.08 | 60.74 | |
| SE-HSSLText Encoder=SE2025.08 | 59.87 | |
| BGRLText Encoder=SE2025.08 | 59.72 | |
| DropGIN2024.02 | 59.5 | |
| GraphCLPre-training Domain=Trained on N2 (OOD), Evaluation protocol=5-shot2026.05 | 59.31 | |
| TriCLText Encoder=SE2025.08 | 58.79 | |
| MLPlearning_mode=unsupervised, dim=5002024.05 | 57.8 | |
| BGRLText Encoder=GIANT2025.08 | 57.44 | |
| GraphCLText Encoder=SE2025.08 | 56.69 | |
| MDGPTshots=5-shot, attack=targeted evasion attack, p=22025.11 | 56.5 | |
| GraphBridgeshots=5-shot, attack=targeted evasion attack, p=22025.11 | 56.4 |