Node Classification on Senate sigma=0.6
68.13Mean AccuracyBHyGNN+
Evaluation results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 68.13 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 67.87 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 66.89 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 65.53 | |
| AllSetLearning Paradigm=Supervised2026.02 | 65.47 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 64.85 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 64.5 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 64.35 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 63.47 | |
| MLPLearning Paradigm=Supervised2026.02 | 62.24 | |
| HNHNLearning Paradigm=Supervised2026.02 | 62.18 | |
| HGNNLearning Paradigm=Supervised2026.02 | 60.06 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 60.06 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 55 | |
| HCHALearning Paradigm=Supervised2026.02 | 47.71 |