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Models/2-WL-GNN

2-WL-GNN

Reported on 10 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs5 results

Graph ClassificationonIMDb-B
Accuracy· 2020-07-01
72.2
SOTA
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
Graph ClassificationonNCI1
Accuracy· 2020-07-01
73.5
SOTA
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
Graph ClassificationonREDDIT-B
Accuracy· 2020-07-01
89.4
best: 93.15 (CRaWl)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
Graph ClassificationonPROTEINS
Accuracy· 2020-07-01
76.5
best: 84.91 (HGP-SL)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
Graph ClassificationonD&D
Accuracy· 2020-07-01
75.4
best: 76.87 (ASAP)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346

Methodology5 results

ClassificationonIMDb-B
Accuracy· 2020-07-01
72.2
SOTA
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
ClassificationonNCI1
Accuracy· 2020-07-01
73.5
SOTA
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
ClassificationonREDDIT-B
Accuracy· 2020-07-01
89.4
best: 93.15 (CRaWl)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
ClassificationonPROTEINS
Accuracy· 2020-07-01
76.5
best: 84.91 (HGP-SL)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346
ClassificationonD&D
Accuracy· 2020-07-01
75.4
best: 76.87 (ASAP)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution arXiv:2007.00346