Node Classification on Citeseer standard (test)
75.7AccuracyPlanetoid
Evaluation Results
| Method | Links | |
|---|---|---|
| Planetoid2019.10 | 75.7 | |
| DFNet-ATT2019.10 | 74.7 | |
| GraphMix (GCN)Source=Our Experiments, Training Strategy=GraphMix, Backbone=GCN2019.09 | 74.52 | |
| DDMLearning Setup=unsupervised representation learning with linear classifier2023.06 | 74.3 | |
| DFNet2019.10 | 74.2 | |
| BVATSource=Reported in literature2019.09 | 74 | |
| GraphVATCategory=+Adversarial2019.02 | 73.7 | |
| InfoGCLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 73.5 | |
| DisenGCNSource=Reported in literature2019.09 | 73.4 | |
| GCNIItraining time=3m2021.11 | 73.4 | |
| GraphMAELearning Setup=unsupervised representation learning with linear classifier2023.06 | 73.4 | |
| GCN (self-training)Source=Our Experiments, Training Strategy=Self-training2019.09 | 73.38 | |
| DGCType=Linear2021.02 | 73.3 | |
| MVGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 73.3 | |
| Graph U-NetSource=Reported in literature2019.09 | 73.2 | |
| GraphSGANCategory=+Adversarial2019.02 | 73.1 | |
| GATarchitecture=DenseBlock2019.10 | 73.1 | |
| DF-ATT2019.10 | 73.1 | |
| GraphScanSource=Reported in literature2019.09 | 73.1 | |
| CCA-SSGLearning Setup=unsupervised representation learning with linear classifier2023.06 | 73.1 | |
| GraphMix (GAT)Source=Our Experiments, Training Strategy=GraphMix, Backbone=GAT2019.09 | 73.08 | |
| GAT (self-training)Source=Our Experiments, Training Strategy=Self-training2019.09 | 72.87 | |
| Incep(Drop)Number of layers=42020.07 | 72.7 | |
| JKNet(Drop)Number of layers=162020.07 | 72.6 | |
| ARMA2019.10 | 72.5 | |
| GAT2019.10 | 72.5 | |
| GATSource=Reported in literature2019.09 | 72.5 | |
| GATType=Non-linear2021.02 | 72.5 | |
| GraphHeatType=Non-linear2021.02 | 72.5 | |
| GCDEType=Non-linear2021.02 | 72.5 | |
| GATLearning Setup=unsupervised representation learning with linear classifier2023.06 | 72.5 | |
| SIGN-linearType=Linear2021.02 | 72.4 | |
| GATtraining time=3m2021.11 | 72.4 | |
| SGCType=Linear2021.02 | 71.9 | |
| MTGAEscenario=MTL (Multi-Task Learning)2018.11 | 71.8 | |
| APPNP2020.07 | 71.8 | |
| APPNPType=Non-linear2021.02 | 71.8 | |
| CGNNType=Non-linear2021.02 | 71.8 | |
| DGILearning Setup=unsupervised representation learning with linear classifier2023.06 | 71.8 | |
| GWWNType=Non-linear2021.02 | 71.7 | |
| αLoNGAE2018.02 | 71.6 | |
| FCN (self-training)Source=Our Experiments, Training Strategy=Self-training2019.09 | 71.5 | |
| iSVD100 (M(NC)) + dropouttraining time=0.1s2021.11 | 71.5 | |
| GraphSAGEType=Non-linear2021.02 | 71.4 | |
| MixHoptraining time=31s2021.11 | 71.4 | |
| iSVD100 (M(NC))training time=0.1s2021.11 | 71.4 | |
| GCNarchitecture=DenseBlock2019.10 | 71.3 | |
| GCN2020.07 | 71.1 | |
| BGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 71.1 | |
| GAT2020.07 | 70.8 | |
| GCNSource=Our Experiments, Training Strategy=Supervised2019.09 | 70.61 | |
| SGC-PairNormType=Linear2021.02 | 70.6 | |
| GATSource=Our Experiments, Training Strategy=Supervised2019.09 | 70.4 | |
| GCNscenario=task-specific2018.11 | 70.3 | |
| GCN2018.02 | 70.3 | |
| GCN2019.10 | 70.3 | |
| GCN2019.08 | 70.3 | |
| GCNSource=Reported in literature2019.09 | 70.3 | |
| GCNType=Non-linear2021.02 | 70.3 | |
| GCNtraining time=7s2021.11 | 70.3 | |
| Chebyshev2019.10 | 69.8 | |
| JKNetNumber of layers=162020.07 | 69.8 | |
| ChebyshevSource=Reported in literature2019.09 | 69.8 | |
| JKNetType=Non-linear2021.02 | 69.8 | |
| GCNCategory=+Node Features2019.02 | 69.3 | |
| ICA2018.02 | 69.1 | |
| ICA2019.10 | 69.1 | |
| ICASource=Reported in literature2019.09 | 69.1 | |
| GraphMix (Graph U-Net)Source=Our Experiments, Training Strategy=GraphMix, Backbone=Graph U-Net2019.09 | 69 | |
| AdaLNet2019.10 | 68.7 | |
| GPT-GNNLearning Setup=unsupervised representation learning with linear classifier2023.06 | 68.4 | |
| Graph-U-Net (self-training)Source=Our Experiments, Training Strategy=Self-training2019.09 | 68.23 | |
| PSNR-GCNFeature Setting=Fully Observed2023.05 | 68.06 | |
| PSNR-GATFeature Setting=Fully Observed2023.05 | 68.01 | |
| Label PropagationType=Linear2021.02 | 68 | |
| DropMessage-GATFeature Setting=Fully Observed2023.05 | 67.82 | |
| Half-Hop-GCNFeature Setting=Fully Observed2023.05 | 67.76 | |
| Balanced LL-orthogonal initializationLayers=22023.10 | 67.7 | |
| Balanced LL-orthogonal initializationLayers=52023.10 | 67.7 | |
| Graph U-NetSource=Our Experiments, Training Strategy=Supervised2019.09 | 67.69 | |
| DropMessage-GCNFeature Setting=Fully Observed2023.05 | 67.66 | |
| Balanced LL-orthogonal initializationLayers=102023.10 | 67.4 | |
| DeProp-GCNFeature Setting=Fully Observed2023.05 | 67.24 | |
| Res-GATFeature Setting=Fully Observed2023.05 | 67.19 | |
| GATFeature Setting=Fully Observed2023.05 | 67.12 | |
| Init-Res-GATFeature Setting=Fully Observed2023.05 | 66.84 | |
| Half-Hop-GATFeature Setting=Fully Observed2023.05 | 66.74 | |
| GCNIIFeature Setting=Fully Observed2023.05 | 66.69 | |
| ResGCNFeature Setting=Fully Observed2023.05 | 66.4 | |
| Balanced LL-orthogonal initializationLayers=202023.10 | 66.3 | |
| LNet2019.10 | 66.2 | |
| GCNFeature Setting=Fully Observed2023.05 | 66 | |
| JK-GATFeature Setting=Fully Observed2023.05 | 65.83 | |
| JKNetFeature Setting=Fully Observed2023.05 | 65.49 | |
| Lipschitz normalizationLayers=2, Base Initialization=Xavier2023.10 | 65.4 | |
| Planetoidscenario=task-specific2018.11 | 64.7 | |
| Planetoid2018.02 | 64.7 | |
| PlanetoidCategory=+Node Features2019.02 | 64.7 | |
| PlanetoidSource=Reported in literature2019.09 | 64.7 | |
| Planetoidtraining time=26s2021.11 | 64.7 |