Node Classification on Synthetic homo ratio 0.5
92.69AccuracyRCL
Evaluation Results
| Method | Links | |
|---|---|---|
| RCLBackbone=GCN2023.10 | 92.69 | |
| PTDNetBackbone=GCN2023.10 | 89.17 | |
| RCLBackbone=GIN2023.10 | 88.62 | |
| RCLBackbone=GraphSAGE2023.10 | 88.24 | |
| ProGNNBackbone=GCN2023.10 | 87.76 | |
| CLNodesBackbone=GIN2023.10 | 87.76 | |
| NeuralSparseBackbone=GCN2023.10 | 87.4 | |
| GCNBackbone=GCN2023.10 | 87.15 | |
| CLNodesBackbone=GraphSAGE2023.10 | 87.08 | |
| ProGNNBackbone=GraphSAGE2023.10 | 86.89 | |
| CLNodesBackbone=GCN2023.10 | 86.85 | |
| PTDNetBackbone=GraphSAGE2023.10 | 86.54 | |
| PTDNetBackbone=GIN2023.10 | 86.14 | |
| GraphSAGEBackbone=GraphSAGE2023.10 | 85.88 | |
| GINBackbone=GIN2023.10 | 85.31 | |
| NeuralSparseBackbone=GIN2023.10 | 85.14 | |
| ProGNNBackbone=GIN2023.10 | 85.13 | |
| NeuralSparseBackbone=GraphSAGE2023.10 | 84.19 | |
| GNNSVDBackbone=GCN2023.10 | 80.51 | |
| GNNSVDBackbone=GIN2023.10 | 79.76 | |
| GNNSVDBackbone=GraphSAGE2023.10 | 77.7 |