Node Classification on House sigma=1.0
69.17Mean AccuracyBHyGNN+
Evaluation results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 69.17 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 67.36 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 66.95 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 65.93 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 65.81 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 65.7 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 65.45 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 65.35 | |
| AllSetLearning Paradigm=Supervised2026.02 | 65.2 | |
| HNHNLearning Paradigm=Supervised2026.02 | 65.16 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 64.72 | |
| MLPLearning Paradigm=Supervised2026.02 | 64.07 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 62.43 | |
| HGNNLearning Paradigm=Supervised2026.02 | 57.24 | |
| HCHALearning Paradigm=Supervised2026.02 | 56.98 |