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Node Classification on Pokec

86.33AccuracyGCN*
51.011660.180869.3578.5192Oct 17, 2021Jul 25, 2022May 2, 2023Feb 8, 2024Nov 15, 2024Aug 23, 2025Jun 1, 2026

Evaluation results

MethodLinks
GCN*implementation=this paper2024.0686.33
GAT*implementation=this paper2024.0686.19
Polynormer-rActivation=ReLU2024.0386.1
Polynormerimplementation=referenced2024.0686.1
Polynormer*implementation=this paper2024.0686.06
SAGELearning Setting=Transductive, Infer. Time=129.6s, Storage Space=1.6GB2024.0585.97
GraphSAGE*implementation=this paper2024.0685.97
Polynormer2024.0385.95
PolynormerLearning Setting=Transductive2024.0585.95
NID_SAGELearning Setting=Transductive, Infer. Time=27.1ms, Storage Space=16.4MB2024.0585.63
GARNN+robust diffusion and HRP=true2026.0584.63
HOGA+robust diffusion and HRP=true2026.0584.5
RNSRuntime (s)=29m30s, GPU (GB)=28.66, RAM (GB)=2.172026.0583.98
FilterMoE2026.0683.87
SIGN+robust diffusion and HRP=true2026.0583.85
GAMLP+robust diffusion and HRP=true2026.0583.68
FullRuntime (s)=37m10s, GPU (GB)=55.43, RAM (GB)=1.632026.0583.4
SGFormerLearning Setting=Transductive2024.0583.07
GloGNN++2022.0583.05
GloGNN2023.0583.05
GloGNN2022.0583
LINKXLearning Setting=Transductive2024.0582.97
SGFormer*implementation=this paper2024.0682.44
SIGMA2023.0582.33
ChebNetIIpre-propagation=performed once (no per-epoch message passing)2026.0682.33
HOGArobust diffusion and HRP=false2026.0582.11
HOGA2026.0682.11
LINKX2022.0582.04
LINKX2024.0382.04
GPRGNNLearning Setting=Transductive2024.0582.04
LINKX2023.0582.04
LINKXrobust diffusion and HRP=false2026.0582.04
LINKX2026.0682.04
GATrobust diffusion and HRP=false2026.0581.52
NFGNNscalable=false2022.1281.37
MixHop2022.0581.07
MixHop2023.0581.07
SIGNrobust diffusion and HRP=false2026.0581.02
SIGN2026.0681.02
ClusterGCNRuntime (s)=27m10s, GPU (GB)=10.69, RAM (GB)=6.552026.0580.97
GARNNrobust diffusion and HRP=false2026.0580.9
Neighborhood samplingRuntime (s)=4h03m15s, GPU (GB)=29.92, RAM (GB)=4.852026.0580.7
LINK2021.1080.54
BernNetscalable=false2022.1279.36
GCNII2022.0578.94
GCNII2023.0578.94
GPR-GNN2022.0578.83
GPRGNNscalable=false2022.1278.83
GPRGNN2024.0378.83
GPRGNN2023.0578.83
GPRGNNrobust diffusion and HRP=false2026.0578.83
GPRGNN2026.0678.83
SAGErobust diffusion and HRP=false2026.0578.4
GraphSAGE2026.0678.4
SAINTRuntime (s)=1h21m50s, GPU (GB)=11.04, RAM (GB)=2.632026.0578.3
GAMLProbust diffusion and HRP=false2026.0578.25
GAMLP2026.0678.25
NAGphormer2024.0376.59
NAGphormerimplementation=referenced2024.0676.59
NAGphormer*implementation=this paper2024.0675.92
GraphSAGEimplementation=referenced2024.0675.63
GCN2021.1075.45
GCN2022.0575.45
GCNscalable=false2022.1275.45
GCN2024.0375.45
GCNimplementation=referenced2024.0675.45
GCN2023.0575.45
GCNrobust diffusion and HRP=false2026.0575.45
GCN2026.0675.45
DIFFormer2024.0373.89
GraphGPSLearning Setting=Transductive2024.0573.76
SGFormerimplementation=referenced2024.0673.76
GOAT*implementation=this paper2024.0672.64
GAT2024.0372.23
GATimplementation=referenced2024.0672.23
GAT2022.0571.77
GAT2023.0571.77
NodeFormer2024.0371
NodeFormerimplementation=referenced2024.0671
NodeFormer*implementation=this paper2024.0671
GOAT2024.0366.37
GOATimplementation=referenced2024.0666.37
ACM-GCN2022.0563.81
ACMGCN2023.0563.81
APPNPscalable=false2022.1262.58
MLP2021.1062.37
MLP2022.0562.37
MLP2023.0562.37
GLNNteacher=GCN2021.1061.32
WholeDescription=Full-data performance2026.0557.87
LADIESRuntime (s)=3h47m38s, GPU (GB)=19.96, RAM (GB)=1.702026.0556.09
AHGCDD2026.0555.04
HG-Cond2026.0553.55
Herding2026.0553.03
HGCPA2026.0552.37