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Benchmarks
Hypergraph Node Classification on House 0.6 (test)
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73.14
Accuracy
HyperGCL (A6: proposed generative augmentation)
64.4456
66.7028
68.96
71.2172
Oct 7, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
HyperGCL (A6: proposed generative augmentation)
Attack Type=Net, Train...
2022.10
73.14
HyperGCL (A6: proposed generative augmentation)
Attack Type=Random, Tr...
2022.10
69.88
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Net, Train...
2022.10
69.59
SetGNN
Attack Type=Net, Train...
2022.10
68.88
HyperGCL (A4: feature perturbation)
Attack Type=Net, Train...
2022.10
68.85
HyperGCL (A6: proposed generative augmentation)
Attack Type=Minmax, Tr...
2022.10
68.84
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Random, Tr...
2022.10
67.71
HyperGCL (A4: feature perturbation)
Attack Type=Random, Tr...
2022.10
67.55
SetGNN
Attack Type=Random, Tr...
2022.10
67.16
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Minmax, Tr...
2022.10
65.23
HyperGCL (A4: feature perturbation)
Attack Type=Minmax, Tr...
2022.10
64.97
SetGNN
Attack Type=Minmax, Tr...
2022.10
64.78
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