Node Classification on Synthetic sigma=0.6
58.97Mean AccuracyBHyGNN+
Evaluation results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 58.97 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 58.1 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 57.23 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 56.73 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 55.96 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 55.92 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 55.42 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 53.74 | |
| AllSetLearning Paradigm=Supervised2026.02 | 52.84 | |
| MLPLearning Paradigm=Supervised2026.02 | 50 | |
| HNHNLearning Paradigm=Supervised2026.02 | 49.67 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 49.62 | |
| HGNNLearning Paradigm=Supervised2026.02 | 42.42 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 41.61 | |
| HCHALearning Paradigm=Supervised2026.02 | 32.5 |