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ResearchFormerly WizWand

Node Classification on Crocodile

79.7AccuracyLW-GCN
30.71643.43356.1568.867Jun 24, 2021Apr 21, 2022Feb 17, 2023Dec 16, 2023Oct 13, 2024Aug 11, 2025Jun 9, 2026
Updated 4mo ago

Evaluation results

MethodLinks
LW-GCNWeight for fc=0.9992021.1079.7
LINKX2021.1079.4
GloGNN++2021.1078.4
SPGCLTraining Data=X, A2026.0677.43
GRACETraining Data=X, A2026.0671.32
DGITraining Data=X, A2026.0671.26
EPAGCL2025.0970.14
GCNII2021.1069
GCATraining Data=X, A2026.0668.87
FD-MVGCL2025.1168.41
MixHop2021.1067.6
FAGCN2021.1067.1
GCN2021.1066.7
H2GCN2021.1066.7
GCN-MLP2025.0966.47
ASGC2021.1066.4
GraphACL2025.1166.17
GraphACL2025.0966.17
EPAGCL2025.1166.14
LOHA2025.1166.09
LOHA2025.0966.09
GraphACLTraining Data=X, A2026.0666.09
PolyGCL2025.1165.95
PolyGCL2025.0965.95
MLP2021.1065.8
GPRGNN2021.1065.6
SDMG2025.1165.38
SDMG2025.0965.38
MLPTraining Data=X, Y2026.0664.41
GCNTraining Data=X, A, Y2026.0664.31
BM-GCN2021.1064.3
SimP-GCN2021.1063.7
LocalGCLTraining Data=X, A2026.0663.04
DSSL2025.1162.98
DSSL2025.0962.98
DSSLTraining Data=X, A2026.0662.98
SuperGAT2021.1062.6
HGRLTraining Data=X, A2026.0661.87
SP-GCL2025.1161.72
SP-GCL2025.0961.72
CCA-SSG2025.1156.77
CCA-SSG2025.0956.77
HLP Concat2021.0655.87
HLP Aggregation2021.0654.58
MLP2021.0654.47
FAGCN2021.0654.35
BGRLTraining Data=X, A2026.0654.35
BGRL2025.1153.87
BGRL2025.0953.87
GATNumber of runs=1002022.0453.3
SuperGATSDNumber of runs=1002022.0453.3
SuperGATMxNumber of runs=1002022.0453.3
H2GCN2021.0653.17
APPNP2021.0653.13
LR2021.0653.01
GraphSAGENumber of runs=1002022.0453
GPR-GNN2021.0652.71
GraphECL2025.1152.52
GraphECL2025.0952.52
SuperGAT2021.0652.41
GCN2021.0652.34
SGCN2021.0651.54
DGI2025.1151.25
DGI2025.0951.25
GCNNumber of runs=1002022.0432.6