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ResearchFormerly WizWand

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

86.85Test AccuracyGraphSAGE
48.026858.105968.18578.2641Sep 12, 2021Jun 12, 2022Mar 12, 2023Dec 11, 2023Sep 9, 2024Jun 9, 2025Mar 10, 2026
Updated 7mo ago

Evaluation results

MethodLinks
GraphSAGE2021.0986.85
FAGCN2021.0982.37
FAGCN2026.0382.37
P2GNNBackbone=ACM-GCN2026.0382.37
ACM-GCNII2021.0982.28
ACMII-Snowball-22021.0982.07
ACM-GCN2026.0381.96
VR-GNN2026.0381.95
GCNII*2021.0981.83
ACMII-GCN2021.0981.79
ACM-GCNII*2021.0981.69
ACM-GCN2021.0981.68
GCNII2021.0981.58
ACM-Snowball-22021.0981.58
GCNII2026.0381.58
ACMII-Snowball-32021.0981.56
Snowball-22021.0981.53
Snowball-22026.0381.53
GCN2021.0981.39
ACM-Snowball-32021.0981.32
ACM-SGC-12021.0980.96
Snowball-32021.0980.93
ACM-SGC-22021.0980.93
Snowball-32026.0380.93
SGC-22021.0980.75
SGC-22026.0380.75
BernNet2026.0380.09
H2GCN2021.0979.97
H2GCN2026.0379.97
SGC-12021.0979.66
GGCN2026.0378.2
Geom-GCN†2021.0977.99
GloGNN++2026.0376.53
MLP-2*2021.0976.25
MLP2026.0376.25
GAT+JK2021.0974.49
GAT+JK2026.0374.49
GCN+JK2021.0973.77
GCN+JK2026.0373.77
APPNP*2021.0968.59
GPRGNN*2021.0967.63
GPRGNN2026.0367.63
GAT*2021.0967.2
GAT2026.0367.2
MixHop2021.0949.52