Graph Classification on REDDIT Binary (85/15 stratified train-test split)
78.45AccuracyCT-LAYER
Evaluation results
| Method | Links | |
|---|---|---|
| CT-LAYERNode features=degree2022.06 | 78.45 | |
| GAP-LAYERNode features=degree, variant=R2022.06 | 77.63 | |
| DIGLNode features=degree2022.06 | 76.02 | |
| GAP-LAYERNode features=degree, variant=N2022.06 | 76 | |
| MinCutPoolNode features=degree2022.06 | 66.53 | |
| SDRFNode features=degree2022.06 | 65.3 | |
| k-NNNode features=degree2022.06 | 64.4 |