Edge Classification on Cuneiform (30% train ratio)
98.52Micro-F1GCN
Evaluation Results
| Method | Links | |
|---|---|---|
| GCNLearning Paradigm=Semi-supervised2022.03 | 98.52 | |
| PairELearning Paradigm=Unsupervised2022.03 | 95.71 | |
| FAGCNLearning Paradigm=Semi-supervised2022.03 | 95.01 | |
| SAGE-SLearning Paradigm=Semi-supervised2022.03 | 92.17 | |
| DeepWalkLearning Paradigm=Unsupervised2022.03 | 84.24 | |
| H2GCNLearning Paradigm=Semi-supervised2022.03 | 80.19 | |
| NodeELearning Paradigm=Unsupervised2022.03 | 73.34 | |
| ARVGELearning Paradigm=Unsupervised2022.03 | 72.52 | |
| SAGE-ULearning Paradigm=Unsupervised2022.03 | 71.78 | |
| PGELearning Paradigm=Semi-supervised2022.03 | 71.35 | |
| DGILearning Paradigm=Unsupervised2022.03 | 71.08 | |
| TransRLearning Paradigm=Unsupervised2022.03 | 70.29 |