Node Classification on Pubmed L/C 60 (test)
83.95AccuracyCaGCN-st
Evaluation Results
| Method | Links | |
|---|---|---|
| CaGCN-stBackbone=GAT2021.09 | 83.95 | |
| St.Backbone=GAT2021.09 | 83.87 | |
| GAT (Orig.)Backbone=GAT2021.09 | 83.47 | |
| Inter.Backbone=GAT2021.09 | 83.12 | |
| Ct.Backbone=GAT2021.09 | 83.01 | |
| UnionBackbone=GAT2021.09 | 82.97 | |
| TS-stBackbone=GAT2021.09 | 82.35 | |
| CaGCN-stL/C=60, Backbone=GCN2021.09 | 0.8447 | |
| Co-trainingL/C=60, Backbone=GCN2021.09 | 0.834 | |
| GCNL/C=60, Backbone=GCN2021.09 | 0.8338 | |
| Self-trainingL/C=60, Backbone=GCN2021.09 | 0.8335 | |
| UnionL/C=60, Backbone=GCN2021.09 | 0.8332 | |
| IntersectionL/C=60, Backbone=GCN2021.09 | 0.8331 | |
| TS-stL/C=60, Backbone=GCN2021.09 | 0.8326 |