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Benchmarks
Hypergraph Node Classification on Citeseer (test)
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66.6
Accuracy
HyperGCL (A6: proposed generative augmentation)
62.0344
63.2197
64.405
65.5903
Oct 7, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
HyperGCL (A6: proposed generative augmentation)
Attack Type=Random, Tr...
2022.10
66.6
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Random, Tr...
2022.10
66.41
HyperGCL (A4: feature perturbation)
Attack Type=Random, Tr...
2022.10
65.94
HyperGCL (A6: proposed generative augmentation)
Attack Type=Net, Train...
2022.10
65.68
HyperGCL (A6: proposed generative augmentation)
Attack Type=Minmax, Tr...
2022.10
65.51
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Net, Train...
2022.10
65.38
HyperGCL (A4: feature perturbation)
Attack Type=Net, Train...
2022.10
65.15
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Minmax, Tr...
2022.10
64.69
HyperGCL (A4: feature perturbation)
Attack Type=Minmax, Tr...
2022.10
64.12
SetGNN
Attack Type=Random, Tr...
2022.10
62.89
SetGNN
Attack Type=Net, Train...
2022.10
62.81
SetGNN
Attack Type=Minmax, Tr...
2022.10
62.21
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