Node Classification on Synthetic homo ratio 0.9
99.94AccuracyProGNN
Evaluation results
| Method | Links | |
|---|---|---|
| ProGNNBackbone=GCN2023.10 | 99.94 | |
| GCNBackbone=GCN2023.10 | 99.93 | |
| RCLBackbone=GCN2023.10 | 99.93 | |
| CLNodesBackbone=GIN2023.10 | 99.92 | |
| GINBackbone=GIN2023.10 | 99.91 | |
| NeuralSparseBackbone=GIN2023.10 | 99.91 | |
| PTDNetBackbone=GIN2023.10 | 99.91 | |
| RCLBackbone=GIN2023.10 | 99.89 | |
| CLNodesBackbone=GCN2023.10 | 99.88 | |
| NeuralSparseBackbone=GCN2023.10 | 99.83 | |
| PTDNetBackbone=GCN2023.10 | 99.81 | |
| ProGNNBackbone=GIN2023.10 | 99.78 | |
| PTDNetBackbone=GraphSAGE2023.10 | 99.78 | |
| RCLBackbone=GraphSAGE2023.10 | 99.64 | |
| CLNodesBackbone=GraphSAGE2023.10 | 99.57 | |
| NeuralSparseBackbone=GraphSAGE2023.10 | 99.55 | |
| GraphSAGEBackbone=GraphSAGE2023.10 | 99.52 | |
| ProGNNBackbone=GraphSAGE2023.10 | 99.5 | |
| GNNSVDBackbone=GIN2023.10 | 98.94 | |
| GNNSVDBackbone=GCN2023.10 | 96.74 | |
| GNNSVDBackbone=GraphSAGE2023.10 | 95.01 |