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ResearchFormerly WizWand

Node Classification on Wisconsin (60%/20%/20%)

98Test AccuracyP2GNN
61.0870.66580.2589.835Sep 12, 2021Jun 12, 2022Mar 12, 2023Dec 11, 2023Sep 9, 2024Jun 9, 2025Mar 10, 2026
Updated 7mo ago

Evaluation results

MethodLinks
P2GNNBackbone=ACM-GCN2026.0398
ACMII-Snowball-32021.0997
ACMII-Snowball-22021.0996.63
ACM-Snowball-32021.0996.62
ACMII-GCN2021.0996.62
ACM-Snowball-22021.0996.38
ACM-GCN2026.0396.12
ACM-GCN2021.0995.75
ACM-GCNII2021.0994.63
ACM-GCNII*2021.0994.37
ACM-SGC-22021.0994
MLP-2*2021.0993.87
MLP2026.0393.87
GPRGNN*2021.0993.75
GPRGNN2026.0393.75
ACM-SGC-12021.0993.25
APPNP*2021.0992
FAGCN2021.0989.75
FAGCN2026.0389.75
GCNII*2021.0989.12
H2GCN2021.0987.5
H2GCN2026.0387.5
GGCN2026.0387.25
GloGNN++2026.0383.75
GCNII2021.0983.25
GCNII2026.0383.25
MixHop2021.0977.25
GCN2021.0975.5
Snowball-22021.0974.88
Snowball-22026.0374.88
SGC-22021.0974.75
SGC-22026.0374.75
GAT*2021.0971.01
GAT2026.0371.01
SGC-12021.0970.38
GAT+JK2021.0969.5
Snowball-32021.0969.5
GAT+JK2026.0369.5
Snowball-32026.0369.5
GraphSAGE2021.0964.85
Geom-GCN†2021.0964.12
GCN+JK2021.0962.5
GCN+JK2026.0362.5