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ResearchFormerly WizWand

Node Classification on CiteSeer (accuracy)

95.75AccuracyCNA
74.461279.988185.51591.0419Sep 12, 2021Jun 24, 2022Apr 6, 2023Jan 17, 2024Oct 28, 2024Aug 10, 2025May 23, 2026
Updated 4mo ago

Evaluation results

MethodLinks
CNAArchitecture=GAT2024.1295.75
DuConTE2026.0489.45
GraphBridge2026.0488.62
ACMII-Snowball-2Architecture=ACMII-Snowball-22024.1282.07
DFA-GNN2024.0680.49
DANCERatio=8%2026.0180.19
HiGNN2024.0379.3
HoGSArchitecture=GraphSAGE, epsilon=5, Feature Privacy=Non-private2026.0279
HoGSArchitecture=GCN, epsilon=5, Feature Privacy=Non-private2026.0278.9
SimTeG2026.0478.51
LLaTARatio=Full2026.0178.21
BP2024.0678.2
DANCERatio=4%2026.0178.19
Sine-Poly(A)-shactivation=Sine, filter=shared2026.0278.18
Sine-Poly(A)-plactivation=Sine, filter=per-layer2026.0278.15
Geom-GCNVariant=best architecture2023.0278.02
Geom-GCN*2021.0978.02
VISIONn_way=2, k_shot=52026.0577.78
ReLU-Poly(A)-plactivation=ReLU, filter=per-layer2026.0277.68
ReLU-Poly(A)-shactivation=ReLU, filter=shared2026.0277.56
GCNSetting=Transductive2024.0577.53
SGOS-Expn2026.0277.48
GLEM2026.0477.42
GloGNN2023.0877.41
GloGNN2024.0377.41
GCNIIVariant=best architecture2023.0277.33
GCNII2023.0877.33
UniG-Encoder2023.0877.33
ACM-GCN2021.0977.32
Ordered GNN2023.0277.31
BLinkArchitecture=GraphSAGE, epsilon=5, Feature Privacy=Non-private2026.0277.3
SGFormerSetting=Transductive2024.0577.24
ACMII-GCN2021.0977.15
GGCN2023.0277.14
GGCN2023.0877.14
GPRGNN2023.0277.13
GPRGNNSetting=Transductive2024.0577.13
GPRGNN2021.0977.13
H2GCNVariant=best architecture2023.0277.11
H2GCN2021.0977.11
HoGSArchitecture=GraphSAGE, epsilon=4, Feature Privacy=Non-private2026.0277.1
GREAD2026.0277.09
GATSetting=Transductive2024.0577.08
H2GCN2023.0877.07
H2GCNTraining Dimension=512, Supervised=true2023.1077.07
FAGCN2021.0977.07
LLM4RGNNRatio=Full2026.0176.96
ACMII-Snowball-2layers=22021.0976.92
CGNN2026.0276.91
NIDGCNSetting=Transductive2024.0576.89
GPRGNNTraining Dimension=512, Supervised=true2023.1076.84
ENGINE2026.0476.84
TEGn_way=2, k_shot=52026.0576.79
PolynormerSetting=Transductive2024.0576.77
ACM-SGC-1order=12021.0976.73
BLinkArchitecture=GCN, epsilon=5, Feature Privacy=Non-private2026.0276.7
GGCN2024.0376.65
ACM-SGC-2order=22021.0976.59
GITA-7BEvaluation Protocol=Fine-tuning, Pre-training=Cycle task pretrained2024.0276.57
GAT2023.0276.55
GAT2023.0876.55
GAT2026.0276.55
APPNPSetting=Transductive2024.0576.53
GCN2023.0276.5
GCN2023.0876.5
HoGSArchitecture=GAT, epsilon=5, Feature Privacy=Non-private2026.0276.5
GCN2026.0276.5
GCNTraining Dimension=512, Supervised=true2023.1076.47
GRAND2026.0276.46
Graph-MLPSetting=Transductive2024.0576.43
ACM-Snowball-2layers=22021.0976.41
H2GCN2024.0376.32
MixHop2023.0276.26
ACMII-Snowball-3layers=32021.0976.18
NIDGATSetting=Transductive2024.0576.13
SGCVariant=+Hi2024.0376.13
Meta-BPn_way=2, k_shot=52026.0576.11
JK-NetVariant=best architecture2023.0276.05
GraphSAGE2023.0276.04
GraphSAGE2023.0876.04
GraphSAGE2026.0276.04
FedC4Ratio=8%2026.0175.95
DANCERatio=2%2026.0175.93
ACM-Snowball-3layers=32021.0975.91
GCNVariant=+Hi2024.0375.73
MixhopVariant=+Hi2024.0375.72
GITA-7BEvaluation Protocol=Fine-tuning, Augmentation=AUGLY2024.0275.68
SGCVariant=Standard2024.0375.66
VQGraphSetting=Transductive2024.0575.64
HoGSArchitecture=GCN, epsilon=4, Feature Privacy=Non-private2026.0275.6
SMILEn_way=2, k_shot=52026.0575.59
ACM-GCN2024.0375.56
TLPn_way=2, k_shot=52026.0575.55
LLM4FGLRatio=Full2026.0175.53
ACMP-GAT2024.0375.5
FedGTARatio=Full2026.0175.44
GPR-GNN2024.0375.43
GCNVariant=Standard2024.0375.33
GATVariant=+Hi2024.0375.32
FedAvgRatio=Full2026.0175.28