Node Classification on Senate sigma=1.0
60.38Mean AccuracyBHyGNN+
Evaluation Results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 60.38 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 58.41 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 56.28 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 55.47 | |
| HNHNLearning Paradigm=Supervised2026.02 | 54.71 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 54.32 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 53.38 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 53.17 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 52.93 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 52.24 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 51.82 | |
| AllSetLearning Paradigm=Supervised2026.02 | 51.76 | |
| MLPLearning Paradigm=Supervised2026.02 | 50.35 | |
| HGNNLearning Paradigm=Supervised2026.02 | 49.35 | |
| HCHALearning Paradigm=Supervised2026.02 | 46.2 |