Our new X account is live! Follow @wizwand_team for updates
Home
/
Benchmarks
Hypergraph Node Classification on House 1.0 (test)
Loading...
62.41
Accuracy
HyperGCL (A6: proposed generative augmentation)
56.2844
57.8747
59.465
61.0553
Oct 7, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
HyperGCL (A6: proposed generative augmentation)
Attack Type=Net, Train...
2022.10
62.41
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Net, Train...
2022.10
60.73
HyperGCL (A4: feature perturbation)
Attack Type=Net, Train...
2022.10
60.1
HyperGCL (A6: proposed generative augmentation)
Attack Type=Random, Tr...
2022.10
60.06
SetGNN
Attack Type=Net, Train...
2022.10
59.95
HyperGCL (A6: proposed generative augmentation)
Attack Type=Minmax, Tr...
2022.10
58.76
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Random, Tr...
2022.10
57.74
HyperGCL (A4: feature perturbation)
Attack Type=Random, Tr...
2022.10
57.47
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Minmax, Tr...
2022.10
57
SetGNN
Attack Type=Random, Tr...
2022.10
56.86
HyperGCL (A4: feature perturbation)
Attack Type=Minmax, Tr...
2022.10
56.65
SetGNN
Attack Type=Minmax, Tr...
2022.10
56.52
Feedback
Search any
task
Search any
task