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Node Classification on Texas

89.73Accuracy

GREAD-F

Updated 4d ago

Evaluation Results

Method
GREAD-F 2022.11	89.73	-	-	-	-
GREAD-BS 2022.11	88.92	-	-	-	-
GRAFF 2022.11	88.38	-	-	-	-
ACM-GCN 2022.11	87.84	-	-	-	-
GREAD-Z 2022.11	87.3	-	-	-	-
GREAD-FB* 2022.11	87.03	-	-	-	-
GREAD-FB 2022.11	86.76	-	-	-	-
ACMP 2022.11	86.2	-	-	-	-
GREAD-AC 2022.11	85.95	-	-	-	-
GCON-GCN 2022.11	85.4	-	-	-	-
Sheaf 2022.11	85.05	-	-	-	-
H2GCN 2022.11	84.86	-	-	-	-
GGCN 2022.11	84.86	-	-	-	-
GloGNN 2022.11	84.32	-	-	-	-
WRGAT 2022.11	83.62	-	-	-	-
BLEND 2022.11	83.24	-	-	-	-
GraphSAGE 2022.11	82.43	-	-	-	-
FA-GCN 2022.11	82.43	-	-	-	-
GCON-GAT 2022.11	82.2	-	-	-	-
GREAD-ST 2022.11	81.08	-	-	-	-
MLP 2022.11	80.81	-	-	-	-
GPR-GNN 2022.11	78.38	-	-	-	-
ChebNet 2022.11	78.37	-	-	-	-
MixHop 2022.11	77.84	-	-	-	-
GCNII 2022.11	77.57	-	-	-	-
GRAND 2022.11	75.68	-	-	-	-
LINKX 2022.11	74.6	-	-	-	-
GDE 2022.11	74.05	-	-	-	-
CGNN 2022.11	71.35	-	-	-	-
Geom-GCN 2022.11	66.76	-	-	-	-
JKNet 2022.11	62.7	-	-	-	-
PairNorm 2022.11	60.27	-	-	-	-
SGC 2022.11	58.1	-	-	-	-
GCN 2022.11	55.14	-	-	-	-
GAT 2022.11	52.16	-	-	-	-
RDGNN-S 2024.06	0.9459	-	-	-	-
FgGSL 2025.12	0.94	-	-	-	-
Sine-Poly(A)-pl 2026.02	0.9369	-	-	-	-
RDGNN-I 2024.06	0.9351	-	-	-	-
PDE-GCNM 2021.08	0.9324	-	-	-	-
PDE-GCN-M 2024.06	0.9324	-	-	-	-
BernNet 2021.06	0.9312	-	0.0065	-	-
GPR-GNN 2021.06	0.9295	-	0.0131	-	-
ReLU-Poly(A)-sh 2026.02	0.9279	-	-	-	-
2-HiGCN 2024.12	0.9245	-	-	-	-
PDE-GCNH 2021.08	0.9216	-	-	-	-
MLP 2021.06	0.9145	-	0.0114	-	-
APPNP 2021.06	0.9098	-	0.0164	-	-
PDE-GCND 2021.08	0.9081	-	-	-	-
ReLU-Poly(A)-pl 2026.02	0.9009	-	-	-	-
CNA 2024.12	0.9	-	-	-	-
DiagChebyT4SD 2025.11	0.9	-	-	-	-
BundleChebyT1SD 2025.11	0.8974	-	-	-	-
GREAD† 2024.06	0.8973	-	-	-	-
DMP† 2024.06	0.8919	-	-	-	-
DiagChebyT1SD 2025.11	0.8868	-	-	-	-
SGOS-Expn 2026.02	0.8865	-	-	-	-
HDP 2024.05	0.8838	-	-	-	-
GRAFF† 2024.06	0.8838	-	-	-	-
ACMII-GCN++ 2024.06	0.8838	-	-	-	-
ACM-GCN+ 2023.05	0.8838	-	-	-	-
RiSNN - NoT 2025.11	0.8789	-	-	-	-
ACM-GCN 2022.05	0.8784	-	-	-	-
ACM-GCN 2024.05	0.8784	-	-	-	-
ACM-GCN 2023.05	0.8784	-	-	-	-
HLP Concat 2021.06	0.8757	-	-	-	-
G2† 2024.06	0.8757	-	-	-	-
FSGNN 2021.05	0.873	-	-	-	-
FSGNN 2021.05	0.873	-	-	-	-
GREET 2023.12	0.87	-	-	-	-
Cont BundleChebySD 2025.11	0.8684	-	-	-	-
UGT 2023.08	0.8667	-	-	-	-
Cont DiagChebySD 2025.11	0.8658	-	-	-	-
SADE-GCN 2023.05	0.8649	-	-	-	-
LHS 2023.12	0.8632	-	-	-	-
ChebNet 2021.06	0.8622	-	0.0245	-	-
Ordered GNN 2023.02	0.8622	-	-	-	-
HiGNN 2024.03	0.8622	-	-	-	-
LW-GCN 2021.10	0.862	-	-	-	-
ACMP-GCN 2024.06	0.862	-	-	-	-
NSD† 2024.06	0.8595	-	-	-	-
ASGC 2021.10	0.859	-	-	-	-
Sine-Poly(A)-sh 2026.02	0.8559	-	-	-	-
NLMLP 2020.05	0.854	-	-	-	-
UniG-Encoder 2023.08	0.854	-	-	-	-
NLGNN 2023.12	0.854	-	-	-	-
GraphCON† 2024.06	0.854	-	-	-	-
GPNN 2023.12	0.8523	-	-	-	-
SAN 2023.08	0.8518	-	-	-	-
SL-Tran 2025.11	0.8516	-	-	-	-
BM-GCN 2023.12	0.8513	-	-	-	-
H2GCN 2022.10	0.849	-	-	-	-
H2GCN-1 2021.05	0.8486	-	-	-	-
H2GCN 2021.06	0.8486	-	-	-	-
H2GCN-1 2021.10	0.8486	-	-	-	-
H2GCN 2022.05	0.8486	-	-	-	-
GGCN 2022.05	0.8486	-	-	-	-
MGNNI 2022.10	0.8486	-	-	-	-
GGCN 2021.02	0.8486	-	-	-	-
H2GCN 2021.02	0.8486	-	-	-	-

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