Node Classification on Pubmed (60/20/20 random split)
91.99AccuracyClenshawGCN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ClenshawGCN2022.10 | 91.99 | — | |
| ClenshawGCNSplits=20 random 60%/20%/20% train/validation/test2022.10 | 91.99 | — | |
| Geom-GCNsplit=60%/20%/20%2023.06 | 90.72 | — | |
| GCNIIsplit=60%/20%/20%, selection_criteria=best accuracy among a series of models proposed2023.06 | 90.3 | — | |
| GCN+JK2022.10 | 90.09 | — | |
| Geom-GCN2023.12 | 90.05 | — | |
| GCNII2022.10 | 89.94 | — | |
| CoLinkDistsplit=60%/20%/20%2023.06 | 89.58 | — | |
| ChebNetIISplits=20 random 60%/20%/20% train/validation/test2022.10 | 88.93 | — | |
| 3ferencesplit=60%/20%/20%2023.06 | 88.9 | — | |
| BernNetSplits=20 random 60%/20%/20% train/validation/test2022.10 | 88.51 | — | |
| GPRGNNSplits=20 random 60%/20%/20% train/validation/test2022.10 | 88.46 | — | |
| APPNPSplits=20 random 60%/20%/20% train/validation/test2022.10 | 88.13 | — | |
| ChebNetSplits=20 random 60%/20%/20% train/validation/test2022.10 | 87.82 | — | |
| H2GCN2022.10 | 87.78 | — | |
| MixHop2022.10 | 87.04 | — | |
| ARMASplits=20 random 60%/20%/20% train/validation/test2022.10 | 86.93 | — | |
| GCN2022.10 | 86.79 | — | |
| MLP2022.10 | 86.14 | — | |
| UGCN2023.12 | 85.22 | — | |
| SimP-GCN2023.12 | 81.1 | — | |
| APPNPsource=[41]2024.06 | 79.97 | — | |
| att-Node-level NLSFssource=this paper2024.06 | 79.62 | — | |
| ChebNetIIsource=[41]2024.06 | 79.53 | — | |
| GPRGNNsource=[41]2024.06 | 79.28 | — | |
| GCNsource=[41]2024.06 | 78.81 | — | |
| ARMAsource=[41]2024.06 | 78.31 | — | |
| SAGEsource=this paper2024.06 | 77.68 | — | |
| GATsource=this paper2024.06 | 77.26 | — | |
| CayleyNetsource=this paper2024.06 | 75.42 | — | |
| ChebNetsource=[41]2024.06 | 73.96 | — | |
| Best C&S modelParameter Δ=-96.00%, Time=0.85 s2020.10 | — | -0.3 |