Node Classification on House sigma=0.6
80.93Mean AccuracyBHyGNN+
Evaluation results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 80.93 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 80.55 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 80.23 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 79.75 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 79.67 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 79.43 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 79.32 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 79.01 | |
| AllSetLearning Paradigm=Supervised2026.02 | 78.81 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 78.64 | |
| MLPLearning Paradigm=Supervised2026.02 | 77.12 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 75.62 | |
| HNHNLearning Paradigm=Supervised2026.02 | 68.36 | |
| HCHALearning Paradigm=Supervised2026.02 | 61.28 | |
| HGNNLearning Paradigm=Supervised2026.02 | 61.24 |