Node Classification on Synthetic sigma=1.0
48.27Mean AccuracyBHyGNN+
Evaluation results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 48.27 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 47.32 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 45.83 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 44.07 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 43.97 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 43.59 | |
| AllSetLearning Paradigm=Supervised2026.02 | 42.78 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 42.31 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 42.26 | |
| HGNNLearning Paradigm=Supervised2026.02 | 37.9 | |
| MLPLearning Paradigm=Supervised2026.02 | 37.48 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 37.13 | |
| HNHNLearning Paradigm=Supervised2026.02 | 37.11 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 32.51 | |
| HCHALearning Paradigm=Supervised2026.02 | 27.18 |