Node Classification on Cora (semi-supervised)
88.75AccuracyLPSL_GCN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LPSL_GCNLabel Rate=60%2023.05 | 88.75 | — | — | |
| LPSL_APPNPLabel Rate=60%2023.05 | 88.62 | — | — | |
| GCNLabel Rate=60%2023.05 | 88.6 | — | — | |
| APPNPLabel Rate=60%2023.05 | 88.49 | — | — | |
| SRGNNLabel Rate=60%2023.05 | 87.17 | — | — | |
| GRADELabel Rate=60%2023.05 | 86.84 | — | — | |
| IntraMixBackbone=APPNP2024.05 | 85.99 | — | — | |
| CAT-E-MFlearning_setup=semi-supervised2021.02 | 85.56 | — | — | |
| CAT-I-SClearning_setup=semi-supervised2021.02 | 85.5 | — | — | |
| LA-APPNPBackbone=APPNP2024.05 | 85.42 | — | — | |
| CAT-E-SClearning_setup=semi-supervised2021.02 | 85.4 | — | — | |
| CAT-I-MFlearning_setup=semi-supervised2021.02 | 85.38 | — | — | |
| IntraMixBackbone=GCN2024.05 | 85.25 | — | — | |
| MH-AugBackbone=APPNP2024.05 | 85.04 | — | — | |
| IntraMixBackbone=GAT2024.05 | 85.03 | — | — | |
| LA-GATBackbone=GAT2024.05 | 84.72 | — | — | |
| IntraMixBackbone=SAGE2024.05 | 84.72 | — | — | |
| LA-GCNBackbone=GCN2024.05 | 84.61 | — | — | |
| MH-AugBackbone=GAT2024.05 | 84.52 | — | — | |
| GTCNhop=102022.04 | 84.5 | — | — | |
| SGFormer2023.06 | 84.5 | — | — | |
| MH-AugBackbone=SAGE2024.05 | 84.5 | — | — | |
| GAT-NetMFlearning_setup=semi-supervised2021.02 | 84.44 | — | — | |
| LA-SAGEBackbone=SAGE2024.05 | 84.41 | — | — | |
| MH-AugBackbone=GCN2024.05 | 84.21 | — | — | |
| GAT-k-Laplearning_setup=semi-supervised2021.02 | 84.1 | — | — | |
| DAGNNhop=102022.04 | 84 | — | — | |
| GATlearning_setup=semi-supervised2021.02 | 83.84 | — | — | |
| GTANhop=102022.04 | 83.7 | — | — | |
| GAT-Deeplearning_setup=semi-supervised2021.02 | 83.68 | — | — | |
| APPNPhop=102022.04 | 83.6 | — | — | |
| CODABackbone=SAGE2024.05 | 83.55 | — | — | |
| NodeMixupBackbone=APPNP2024.05 | 83.54 | — | — | |
| NodeMixupBackbone=GAT2024.05 | 83.52 | — | — | |
| CODABackbone=GCN2024.05 | 83.47 | — | — | |
| NodeMixupBackbone=GCN2024.05 | 83.47 | — | — | |
| CODABackbone=GAT2024.05 | 83.36 | — | — | |
| DropMessageBackbone=GCN2024.05 | 83.33 | — | — | |
| APPNP2023.06 | 83.3 | — | — | |
| LPSL_APPNPLabel Rate=202023.05 | 83.24 | — | — | |
| GAThop=22022.04 | 83 | — | — | |
| GAT2023.06 | 83 | — | — | |
| GraphMixBackbone=APPNP2024.05 | 82.98 | — | — | |
| APPNPlearning_setup=semi-supervised2021.02 | 82.8 | — | — | |
| GraphMixBackbone=GAT2024.05 | 82.76 | — | — | |
| LPSL_GCNLabel Rate=202023.05 | 82.74 | — | — | |
| H2GCN2023.06 | 82.5 | — | — | |
| DropMessageBackbone=APPNP2024.05 | 82.37 | — | — | |
| APPNPLabel Rate=202023.05 | 82.34 | — | — | |
| GraphMixBackbone=GCN2024.05 | 82.29 | — | — | |
| NodeFormer2023.06 | 82.2 | — | — | |
| DropMessageBackbone=GAT2024.05 | 82.2 | — | — | |
| SIGN2023.06 | 82.1 | — | — | |
| OriginalBackbone=GAT2024.05 | 82.04 | — | — | |
| MoNetlearning_setup=semi-supervised2021.02 | 81.96 | — | — | |
| NodeMixupBackbone=SAGE2024.05 | 81.93 | — | — | |
| SGClearning_setup=semi-supervised2021.02 | 81.9 | — | — | |
| Tree-LSTMhop=22022.04 | 81.9 | — | — | |
| GloGNN2023.06 | 81.9 | — | — | |
| JKNet2023.06 | 81.8 | — | — | |
| GraphTrans ULTRASMALLLayers=2, Heads=12023.06 | 81.7 | — | — | |
| GCN2023.06 | 81.6 | — | — | |
| LPSL_APPNPLabel Rate=102023.05 | 81.59 | — | — | |
| GINlearning_setup=semi-supervised2021.02 | 81.58 | — | — | |
| OriginalBackbone=GCN2024.05 | 81.51 | — | — | |
| GCNhop=22022.04 | 81.5 | — | — | |
| GCNlearning_setup=semi-supervised2021.02 | 81.42 | — | — | |
| GraphSAGElearning_setup=semi-supervised2021.02 | 81.12 | — | — | |
| CPGNN2023.06 | 80.8 | — | — | |
| GraphTrans SMALLLayers=3, Heads=42023.06 | 80.7 | — | — | |
| LPSL_GCNLabel Rate=102023.05 | 80.39 | — | — | |
| APPNPLabel Rate=102023.05 | 80.29 | — | — | |
| SGC2023.06 | 80.1 | — | — | |
| GraphMixBackbone=SAGE2024.05 | 80.09 | — | — | |
| ARMAlearning_setup=semi-supervised2021.02 | 80.06 | — | — | |
| OriginalBackbone=APPNP2024.05 | 80.03 | — | — | |
| GPRGNNLearning Setting=Semi-supervised2022.12 | 79.51 | — | — | |
| GCNLabel Rate=202023.05 | 79.41 | — | — | |
| APPNPLearning Setting=Semi-supervised2022.12 | 79.41 | — | — | |
| SRGNNLabel Rate=202023.05 | 78.42 | — | — | |
| JKNetlearning_setup=semi-supervised2021.02 | 78.34 | — | — | |
| OriginalBackbone=SAGE2024.05 | 78.12 | — | — | |
| FAGCNLearning Setting=Semi-supervised2022.12 | 78.1 | — | — | |
| NFGNNLearning Setting=Semi-supervised2022.12 | 77.69 | — | — | |
| GRADELabel Rate=202023.05 | 77.41 | — | — | |
| LPSL_APPNPLabel Rate=52023.05 | 77.24 | — | — | |
| GATLearning Setting=Semi-supervised2022.12 | 76.7 | — | — | |
| LPSL_GCNLabel Rate=52023.05 | 76.58 | — | — | |
| GCNLabel Rate=102023.05 | 76.5 | — | — | |
| BernNetLearning Setting=Semi-supervised2022.12 | 76.37 | — | — | |
| APPNPLabel Rate=52023.05 | 75.86 | — | — | |
| Graphormer SMALLERLayers=3, Heads=82023.06 | 75.8 | — | — | |
| SRGNNLabel Rate=102023.05 | 75.42 | — | — | |
| GCNLearning Setting=Semi-supervised2022.12 | 75.21 | — | — | |
| GRADELabel Rate=102023.05 | 74.95 | — | — | |
| Graphormer ULTRASMALLLayers=2, Heads=12023.06 | 74.2 | — | — | |
| BMGCNLearning Setting=Semi-supervised2022.12 | 74.07 | — | — | |
| ChebNetLearning Setting=Semi-supervised2022.12 | 71.39 | — | — | |
| SRGNNLabel Rate=52023.05 | 70.77 | — | — | |
| GCNLabel Rate=52023.05 | 70.68 | — | — |