Node Classification on Cornell standard (test)
76Micro-F1SAGE-S
Evaluation results
| Method | Links | |
|---|---|---|
| SAGE-STrain ratio=30%, Learning Setting=Semi-supervised2022.03 | 76 | |
| FAGCNTrain ratio=30%, Learning Setting=Semi-supervised2022.03 | 72.59 | |
| H2GCNTrain ratio=30%, Learning Setting=Semi-supervised2022.03 | 71.85 | |
| PairETrain ratio=30%, Learning Setting=Unsupervised2022.03 | 66.73 | |
| GCNTrain ratio=30%, Learning Setting=Semi-supervised2022.03 | 65.99 | |
| NodeETrain ratio=30%, Learning Setting=Unsupervised2022.03 | 57.67 | |
| PGETrain ratio=30%, Learning Setting=Semi-supervised2022.03 | 54.35 | |
| ARVGETrain ratio=30%, Learning Setting=Unsupervised2022.03 | 54.33 | |
| DeepWalkTrain ratio=30%, Learning Setting=Unsupervised2022.03 | 48.67 | |
| SAGE-UTrain ratio=30%, Learning Setting=Unsupervised2022.03 | 48.18 | |
| CANTrain ratio=30%, Learning Setting=Unsupervised2022.03 | 42.36 | |
| TransRTrain ratio=30%, Learning Setting=Unsupervised2022.03 | 42 | |
| DGITrain ratio=30%, Learning Setting=Unsupervised2022.03 | 38.73 |