Node Classification on Chameleon dense original
79.84Accuracyatt-Node-level NLSFs
Evaluation Results
| Method | Links | |
|---|---|---|
| att-Node-level NLSFssplit=dense2024.06 | 79.84 | |
| att-Node-level NLSFs2024.06 | 79.42 | |
| FSGNNsplit=dense2024.06 | 77.85 | |
| FSGNN2024.06 | 77.85 | |
| ResNet+adjsplit=dense2024.06 | 71.07 | |
| ResNet+adj2024.06 | 71.07 | |
| GloGNNsplit=dense2024.06 | 70.04 | |
| GloGNN2024.06 | 70.04 | |
| JacobiConv2024.06 | 68.33 | |
| FAGCNsplit=dense2024.06 | 64.23 | |
| FAGCN2024.06 | 64.23 | |
| GBKGNN2024.06 | 51.36 | |
| GT-sep2024.06 | 50.33 | |
| GAT-sep2024.06 | 50.24 | |
| GCNsplit=dense2024.06 | 50.18 | |
| GCN2024.06 | 50.18 | |
| SAGE2024.06 | 50.18 | |
| ResNet+SGCsplit=dense2024.06 | 49.93 | |
| ResNet+SGC2024.06 | 49.93 | |
| ResNet2024.06 | 49.52 | |
| CPGNN2024.06 | 48.77 | |
| GPRGNNsplit=dense2024.06 | 47.26 | |
| GPRGNN2024.06 | 47.26 | |
| H2GCN2024.06 | 46.27 | |
| GAT2024.06 | 45.02 | |
| GT2024.06 | 44.93 |