Node Classification on Cora (standard)
88.57AccuracyGPR-GNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GPR-GNN2021.06 | 88.57 | 88.57 | 0.69 | |
| BernNetK=10, Propagation=Bernstein polynomial2021.06 | 88.52 | 88.52 | 0.95 | |
| APPNP2021.06 | 88.14 | 88.14 | 0.73 | |
| GAT2021.06 | 88.03 | 88.03 | 0.79 | |
| GCN2021.06 | 87.14 | 87.14 | 1.01 | |
| ChebNet2021.06 | 86.67 | 86.67 | 0.82 | |
| att-Node-level NLSFsattention=Laplacian2024.06 | 85.37 | — | — | |
| JacobiConv2024.06 | 84.12 | — | — | |
| ChebNetII2024.06 | 83.95 | — | — | |
| GAT2024.06 | 83.64 | — | — | |
| APPNP2024.06 | 83.19 | — | — | |
| BernNet2024.06 | 82.96 | — | — | |
| LSM_GATgenerative_model=LSM, posterior_model=GAT2019.05 | 82.9 | — | — | |
| SBM_GATgenerative_model=SBM, posterior_model=GAT2019.05 | 82.9 | — | — | |
| GPRGNN2024.06 | 82.82 | — | — | |
| DropEdge2019.09 | 82.8 | — | — | |
| GraphVAT2019.09 | 82.6 | — | — | |
| GAT2019.05 | 82.5 | — | — | |
| LSM_GCNgenerative_model=LSM, posterior_model=GCN2019.05 | 82.5 | — | — | |
| GraphAT2019.09 | 82.5 | — | — | |
| Specformer2024.06 | 82.27 | — | — | |
| SBM_GCNgenerative_model=SBM, posterior_model=GCN2019.05 | 82.2 | — | — | |
| OptBasisGNN2024.06 | 81.97 | — | — | |
| GCN2024.06 | 81.92 | — | — | |
| CayleyNet2024.06 | 81.76 | — | — | |
| ARMA2024.06 | 81.64 | — | — | |
| GCN2019.05 | 81.5 | — | — | |
| ChebNet2024.06 | 79.72 | — | — | |
| MLP2021.06 | 76.96 | 76.96 | 0.95 | |
| SLAPSinitialization=MLP, refinement=self-training2021.02 | 74.2 | — | — | |
| SAGE2024.06 | 74.01 | — | — | |
| SLAPSinitialization=MLP-D2021.02 | 73.4 | — | — | |
| SLAPSinitialization=MLP2021.02 | 72.8 | — | — | |
| SLAPSinitialization=MLP, refinement=AdaEdge2021.02 | 72.8 | — | — | |
| SLAPSinitialization=FP2021.02 | 72.4 | — | — | |
| LDS2021.02 | 71.5 | — | — | |
| IDGL2021.02 | 70.9 | — | — | |
| MLP-GAM*2021.02 | 70.7 | — | — | |
| kNN-GCNrefinement=AdaEdge2021.02 | 67.7 | — | — | |
| GRCN2021.02 | 67.4 | — | — | |
| kNN-GCNrefinement=self-training2021.02 | 67.3 | — | — | |
| kNN-GCN2021.02 | 66.5 | — | — | |
| MLP2019.05 | 58.3 | — | — | |
| DGCNN2021.02 | 56.5 | — | — | |
| MLP2021.02 | 56.1 | — | — | |
| LP2021.02 | 37.6 | — | — |