Node Classification on Squirrel dense split original
68.93AccuracyFSGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| FSGNNsplit=dense2024.06 | 68.93 | |
| FSGNN2024.06 | 68.93 | |
| att-Node-level NLSFssplit=dense2024.06 | 68.17 | |
| att-Node-level NLSFs2024.06 | 67.81 | |
| ResNet+adjsplit=dense2024.06 | 65.46 | |
| ResNet+adj2024.06 | 65.46 | |
| GloGNNsplit=dense2024.06 | 61.21 | |
| GloGNN2024.06 | 61.21 | |
| FAGCNsplit=dense2024.06 | 47.63 | |
| FAGCN2024.06 | 47.63 | |
| JacobiConv2024.06 | 46.17 | |
| GCNsplit=dense2024.06 | 39.06 | |
| GCN2024.06 | 39.06 | |
| GBKGNN2024.06 | 37.06 | |
| GT-sep2024.06 | 36.08 | |
| SAGE2024.06 | 35.83 | |
| GAT-sep2024.06 | 35.72 | |
| ResNet+SGCsplit=dense2024.06 | 34.36 | |
| ResNet+SGC2024.06 | 34.36 | |
| ResNet2024.06 | 33.88 | |
| GPRGNNsplit=dense2024.06 | 33.39 | |
| GPRGNN2024.06 | 33.39 | |
| GAT2024.06 | 32.21 | |
| GT2024.06 | 31.61 | |
| CPGNN2024.06 | 30.91 | |
| H2GCN2024.06 | 29.45 |