Node Classification on Congress sigma=0.6
96.33Mean AccuracyBHyGNN+
Evaluation Results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 96.33 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 95.45 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 95.18 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 94.84 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 94.2 | |
| AllSetLearning Paradigm=Supervised2026.02 | 93.65 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 93.1 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 92.91 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 92.34 | |
| HCHALearning Paradigm=Supervised2026.02 | 91.04 | |
| HGNNLearning Paradigm=Supervised2026.02 | 90.91 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 90.72 | |
| HNHNLearning Paradigm=Supervised2026.02 | 89.71 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 84.81 | |
| MLPLearning Paradigm=Supervised2026.02 | 79.45 |