Node Classification on CiteSeer (accuracy)
95.75AccuracyCNA
Evaluation Results
| Method | Links | |
|---|---|---|
| CNAArchitecture=GAT2024.12 | 95.75 | |
| DuConTE2026.04 | 89.45 | |
| GraphBridge2026.04 | 88.62 | |
| ACMII-Snowball-2Architecture=ACMII-Snowball-22024.12 | 82.07 | |
| DFA-GNN2024.06 | 80.49 | |
| DANCERatio=8%2026.01 | 80.19 | |
| HiGNN2024.03 | 79.3 | |
| HoGSArchitecture=GraphSAGE, epsilon=5, Feature Privacy=Non-private2026.02 | 79 | |
| HoGSArchitecture=GCN, epsilon=5, Feature Privacy=Non-private2026.02 | 78.9 | |
| SimTeG2026.04 | 78.51 | |
| LLaTARatio=Full2026.01 | 78.21 | |
| BP2024.06 | 78.2 | |
| DANCERatio=4%2026.01 | 78.19 | |
| Sine-Poly(A)-shactivation=Sine, filter=shared2026.02 | 78.18 | |
| Sine-Poly(A)-plactivation=Sine, filter=per-layer2026.02 | 78.15 | |
| Geom-GCNVariant=best architecture2023.02 | 78.02 | |
| Geom-GCN*2021.09 | 78.02 | |
| VISIONn_way=2, k_shot=52026.05 | 77.78 | |
| ReLU-Poly(A)-plactivation=ReLU, filter=per-layer2026.02 | 77.68 | |
| ReLU-Poly(A)-shactivation=ReLU, filter=shared2026.02 | 77.56 | |
| GCNSetting=Transductive2024.05 | 77.53 | |
| SGOS-Expn2026.02 | 77.48 | |
| GLEM2026.04 | 77.42 | |
| GloGNN2023.08 | 77.41 | |
| GloGNN2024.03 | 77.41 | |
| GCNIIVariant=best architecture2023.02 | 77.33 | |
| GCNII2023.08 | 77.33 | |
| UniG-Encoder2023.08 | 77.33 | |
| ACM-GCN2021.09 | 77.32 | |
| Ordered GNN2023.02 | 77.31 | |
| BLinkArchitecture=GraphSAGE, epsilon=5, Feature Privacy=Non-private2026.02 | 77.3 | |
| SGFormerSetting=Transductive2024.05 | 77.24 | |
| ACMII-GCN2021.09 | 77.15 | |
| GGCN2023.02 | 77.14 | |
| GGCN2023.08 | 77.14 | |
| GPRGNN2023.02 | 77.13 | |
| GPRGNNSetting=Transductive2024.05 | 77.13 | |
| GPRGNN2021.09 | 77.13 | |
| H2GCNVariant=best architecture2023.02 | 77.11 | |
| H2GCN2021.09 | 77.11 | |
| HoGSArchitecture=GraphSAGE, epsilon=4, Feature Privacy=Non-private2026.02 | 77.1 | |
| GREAD2026.02 | 77.09 | |
| GATSetting=Transductive2024.05 | 77.08 | |
| H2GCN2023.08 | 77.07 | |
| H2GCNTraining Dimension=512, Supervised=true2023.10 | 77.07 | |
| FAGCN2021.09 | 77.07 | |
| LLM4RGNNRatio=Full2026.01 | 76.96 | |
| ACMII-Snowball-2layers=22021.09 | 76.92 | |
| CGNN2026.02 | 76.91 | |
| NIDGCNSetting=Transductive2024.05 | 76.89 | |
| GPRGNNTraining Dimension=512, Supervised=true2023.10 | 76.84 | |
| ENGINE2026.04 | 76.84 | |
| TEGn_way=2, k_shot=52026.05 | 76.79 | |
| PolynormerSetting=Transductive2024.05 | 76.77 | |
| ACM-SGC-1order=12021.09 | 76.73 | |
| BLinkArchitecture=GCN, epsilon=5, Feature Privacy=Non-private2026.02 | 76.7 | |
| GGCN2024.03 | 76.65 | |
| ACM-SGC-2order=22021.09 | 76.59 | |
| GITA-7BEvaluation Protocol=Fine-tuning, Pre-training=Cycle task pretrained2024.02 | 76.57 | |
| GAT2023.02 | 76.55 | |
| GAT2023.08 | 76.55 | |
| GAT2026.02 | 76.55 | |
| APPNPSetting=Transductive2024.05 | 76.53 | |
| GCN2023.02 | 76.5 | |
| GCN2023.08 | 76.5 | |
| HoGSArchitecture=GAT, epsilon=5, Feature Privacy=Non-private2026.02 | 76.5 | |
| GCN2026.02 | 76.5 | |
| GCNTraining Dimension=512, Supervised=true2023.10 | 76.47 | |
| GRAND2026.02 | 76.46 | |
| Graph-MLPSetting=Transductive2024.05 | 76.43 | |
| ACM-Snowball-2layers=22021.09 | 76.41 | |
| H2GCN2024.03 | 76.32 | |
| MixHop2023.02 | 76.26 | |
| ACMII-Snowball-3layers=32021.09 | 76.18 | |
| NIDGATSetting=Transductive2024.05 | 76.13 | |
| SGCVariant=+Hi2024.03 | 76.13 | |
| Meta-BPn_way=2, k_shot=52026.05 | 76.11 | |
| JK-NetVariant=best architecture2023.02 | 76.05 | |
| GraphSAGE2023.02 | 76.04 | |
| GraphSAGE2023.08 | 76.04 | |
| GraphSAGE2026.02 | 76.04 | |
| FedC4Ratio=8%2026.01 | 75.95 | |
| DANCERatio=2%2026.01 | 75.93 | |
| ACM-Snowball-3layers=32021.09 | 75.91 | |
| GCNVariant=+Hi2024.03 | 75.73 | |
| MixhopVariant=+Hi2024.03 | 75.72 | |
| GITA-7BEvaluation Protocol=Fine-tuning, Augmentation=AUGLY2024.02 | 75.68 | |
| SGCVariant=Standard2024.03 | 75.66 | |
| VQGraphSetting=Transductive2024.05 | 75.64 | |
| HoGSArchitecture=GCN, epsilon=4, Feature Privacy=Non-private2026.02 | 75.6 | |
| SMILEn_way=2, k_shot=52026.05 | 75.59 | |
| ACM-GCN2024.03 | 75.56 | |
| TLPn_way=2, k_shot=52026.05 | 75.55 | |
| LLM4FGLRatio=Full2026.01 | 75.53 | |
| ACMP-GAT2024.03 | 75.5 | |
| FedGTARatio=Full2026.01 | 75.44 | |
| GPR-GNN2024.03 | 75.43 | |
| GCNVariant=Standard2024.03 | 75.33 | |
| GATVariant=+Hi2024.03 | 75.32 | |
| FedAvgRatio=Full2026.01 | 75.28 |