Node Classification on Congress sigma=1.0
95.25Mean AccuracyBHyGNN+
Evaluation Results
| Method | Links | |
|---|---|---|
| BHyGNN+Learning Paradigm=Unsupervised2026.02 | 95.25 | |
| TriCLLearning Paradigm=Unsupervised2026.02 | 93.73 | |
| BHyGNNLearning Paradigm=Supervised2026.02 | 93.72 | |
| HyperGCLLearning Paradigm=Unsupervised2026.02 | 92.73 | |
| ED-HNNLearning Paradigm=Supervised2026.02 | 92.07 | |
| HyGCL-ADTLearning Paradigm=Unsupervised2026.02 | 91.86 | |
| SheafHGNNLearning Paradigm=Supervised2026.02 | 91.07 | |
| HypeBoyLearning Paradigm=Unsupervised2026.02 | 90.52 | |
| HCHALearning Paradigm=Supervised2026.02 | 89.81 | |
| UniGCNIILearning Paradigm=Supervised2026.02 | 89.56 | |
| AllSetLearning Paradigm=Supervised2026.02 | 88.65 | |
| HGNNLearning Paradigm=Supervised2026.02 | 88.08 | |
| HyperGCNLearning Paradigm=Supervised2026.02 | 83.32 | |
| HNHNLearning Paradigm=Supervised2026.02 | 82.97 | |
| MLPLearning Paradigm=Supervised2026.02 | 65.91 |