Edge Classification on FB15K237+ Multi-label edges (30% train ratio)
89.36Micro-F1PairE
Evaluation results
| Method | Links | |
|---|---|---|
| PairELearning Paradigm=Unsupervised2022.03 | 89.36 | |
| TransRLearning Paradigm=Unsupervised2022.03 | 78.48 | |
| DeepWalkLearning Paradigm=Unsupervised2022.03 | 62.3 | |
| ARVGELearning Paradigm=Unsupervised2022.03 | 56.92 | |
| SAGE-ULearning Paradigm=Unsupervised2022.03 | 56.14 | |
| NodeELearning Paradigm=Unsupervised2022.03 | 42.64 | |
| DGILearning Paradigm=Unsupervised2022.03 | 35.04 |