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Node Classification on Cornell (60%/20%/20% random)

95.9AccuracyACMII-GCN
58.907268.511178.11587.7189Sep 12, 2021Jun 12, 2022Mar 12, 2023Dec 11, 2023Sep 9, 2024Jun 9, 2025Mar 10, 2026

Evaluation results

MethodLinks
ACMII-GCN2022.1095.91.835.9
ACMII-GCN2021.0995.9——
P2GNNBackbone=ACM-GCN2026.0395.41——
ACMII-Snowball-2layers=22022.1095.251.557.56
ACMII-Snowball-22021.0995.25——
ACM-Snowball-2layers=22022.1095.083.117.44
ACM-Snowball-22021.0995.08——
ACM-GCN+2022.1094.922.794.9
ACM-GCN2022.1094.753.87.9
ACM-GCN2021.0994.75——
ACM-GCN2026.0394.43——
ACM-Snowball-3layers=32022.1094.262.577.22
ACM-Snowball-32021.0994.26——
ACM-GCN++2022.1093.931.054.3
ACMII-GCN+2022.1093.933.034.4
ACM-SGC-1order=12022.1093.771.9117
ACM-SGC-2order=22022.1093.772.1717.7
ACM-SGC-12021.0993.77——
ACM-SGC-22021.0993.77——
ACMII-Snowball-3layers=32022.1093.612.799
ACMII-Snowball-32021.0993.61——
ACM-GCNII*variant=*2022.1093.442.7414.2
ACM-GCNII*2021.0993.44——
VR-GNN2026.0392.7——
ACM-GCNII2022.1092.623.1314.3
ACMII-GCN++2022.1092.622.575.1
ACM-GCNII2021.0992.62——
ClenshawGCN2022.1092.46——
ClenshawGCNSplits=20 random 60%/20%/20% train/validation/test2022.1092.46——
ChebNetIISplits=20 random 60%/20%/20% train/validation/test2022.1092.3——
GGCN2026.0392.3——
BernNet2022.1092.131.6414.75
BernNetSplits=20 random 60%/20%/20% train/validation/test2022.1092.13——
BernNet2026.0392.13——
APPNP2022.1091.80.6322.8
APPNP*2021.0991.8——
GPRGNNSplits=20 random 60%/20%/20% train/validation/test2022.1091.57——
APPNPSplits=20 random 60%/20%/20% train/validation/test2022.1091.52——
GPRGNN2022.1091.360.719.2
GPRGNN*2021.0991.36——
GPRGNN2026.0391.36——
MLP-2Layers=22022.1091.30.723.4
MLP-2*2021.0991.3——
MLP2026.0391.3——
GCNII*variant=*2022.1090.494.4516.4
GCNII*2021.0990.49——
GCNII2022.1089.183.9619.3
GCNII2021.0989.18——
GCNII2026.0389.18——
FAGCN2022.1088.035.618.2
FAGCN2021.0988.03——
FAGCN2026.0388.03——
H2GCN2022.1086.234.7121.8
H2GCN2022.1086.23——
H2GCN2021.0986.23——
H2GCN2026.0386.23——
ARMASplits=20 random 60%/20%/20% train/validation/test2022.1085.62——
GCNII2022.1084.26——
MLP2022.1084.15——
SimP-GCN2023.1284.05——
ChebNetSplits=20 random 60%/20%/20% train/validation/test2022.1083.91——
Snowball-3layers=32022.1082.952.119.11
Snowball-32021.0982.95——
Snowball-32026.0382.95——
Snowball-2layers=22022.1082.622.3419.78
Snowball-22021.0982.62——
Snowball-22026.0382.62——
GCN2022.1082.463.1120.9
GCN2021.0982.46——
GloGNN++2026.0381.96——
GAT2022.10761.0126.2
GAT*2021.0976——
GAT2026.0376——
GAT+JKJumping Knowledge=true2022.1074.4310.2420.9
GAT+JK2021.0974.43——
GAT+JK2026.0374.43——
SGC-2order=22022.1072.629.9225.4
SGC-22021.0972.62——
SGC-22026.0372.62——
GraphSAGE2022.1071.411.2425.78
GraphSAGE2021.0971.41——
SGC-1order=12022.1070.988.3924.9
SGC-12021.0970.98——
UGCN2023.1269.77——
GCN+JKJumping Knowledge=true2022.1066.5613.8223.4
GCN+JK2022.1066.56——
GCN+JK2021.0966.56——
GCN+JK2026.0366.56——
GCN2022.1065.78——
Geom-GCN2022.1060.81—27.44
Geom-GCN2023.1260.81——
Geom-GCN†2021.0960.81——
MixHop2022.1060.3328.5328.3
MixHop2022.1060.33——
MixHop2021.0960.33——