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Benchmarks
Hypergraph Node Classification on Cora (test)
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72.15
Accuracy
HyperGCL (A6: proposed generative augmentation)
66.0244
67.6147
69.205
70.7953
Oct 7, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
HyperGCL (A6: proposed generative augmentation)
Attack Type=Random, Tr...
2022.10
72.15
HyperGCL (A4: feature perturbation)
Attack Type=Random, Tr...
2022.10
72.11
HyperGCL (A6: proposed generative augmentation)
Attack Type=Minmax, Tr...
2022.10
71.98
HyperGCL (A6: proposed generative augmentation)
Attack Type=Net, Train...
2022.10
71.94
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Random, Tr...
2022.10
71.9
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Net, Train...
2022.10
71.16
HyperGCL (A2: generalized hyperedge augmentation)
Attack Type=Minmax, Tr...
2022.10
70.86
HyperGCL (A4: feature perturbation)
Attack Type=Minmax, Tr...
2022.10
70.52
HyperGCL (A4: feature perturbation)
Attack Type=Net, Train...
2022.10
70.49
SetGNN
Attack Type=Random, Tr...
2022.10
66.87
SetGNN
Attack Type=Minmax, Tr...
2022.10
66.58
SetGNN
Attack Type=Net, Train...
2022.10
66.26
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