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ResearchFormerly WizWand

Node Classification on Squirrel (60%/20%/20% random splits)

62.14AccuracyClenshawGCN
23.046433.195743.34553.4943Sep 12, 2021Jan 27, 2022Jun 13, 2022Oct 29, 2022Mar 15, 2023Jul 30, 2023Dec 15, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ClenshawGCN2022.1062.14
ClenshawGCNSplits=20 random 60%/20%/20% train/validation/test2022.1062.14
ACM-GCN2021.0958.02
ChebNetIISplits=20 random 60%/20%/20% train/validation/test2022.1057.72
ACM-Snowball-22021.0955.97
ACM-Snowball-32021.0955.73
ACMII-GCN2021.0954.53
ACMII-Snowball-22021.0953.48
GCN+JK2022.1053.4
GCN+JK2021.0953.4
ACMII-Snowball-32021.0952.31
GAT+JK2021.0952.28
BernNetSplits=20 random 60%/20%/20% train/validation/test2022.1051.39
GPRGNNSplits=20 random 60%/20%/20% train/validation/test2022.1050.43
GPRGNN*2021.0949.93
Snowball-32021.0948.25
Snowball-22021.0947.88
SGC-12021.0947.62
ACM-SGC-12021.0946.4
GCN2022.1045.87
GCN2021.0944.76
GAT*2021.0942.72
SimP-GCN2023.1242.57
FAGCN2021.0942.24
GCNII2022.1041.96
GraphSAGE2021.0941.26
SGC-22021.0941.25
ACM-SGC-22021.0940.91
ACM-GCNII2021.0940.9
ChebNetSplits=20 random 60%/20%/20% train/validation/test2022.1040.81
H2GCN2021.0938.85
GCNII2021.0938.81
ACM-GCNII*2021.0938.32
GCNII*2021.0938.31
Geom-GCN2023.1238.14
ARMASplits=20 random 60%/20%/20% train/validation/test2022.1036.27
APPNPSplits=20 random 60%/20%/20% train/validation/test2022.1035.71
APPNP*2021.0934.77
UGCN2023.1234.39
MLP-2*2021.0931.28
MLP2022.1031.01
H2GCN2022.1030.39
MixHop2022.1024.55
MixHop2021.0924.55