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ResearchFormerly WizWand

Node Classification on Film (60%/20%/20% split)

43.05Test AccuracyP2GNN
24.548429.351734.15538.9583Sep 12, 2021Jun 12, 2022Mar 12, 2023Dec 11, 2023Sep 9, 2024Jun 9, 2025Mar 10, 2026
Updated 7mo ago

Evaluation results

MethodLinks
P2GNNBackbone=ACM-GCN2026.0343.05
VR-GNN2026.0342.16
ACM-GCN2026.0341.98
ACMII-GCN2021.0941.84
BernNet2026.0341.79
ACM-GCN2021.0941.62
GCNII*2021.0941.54
ACM-Snowball-22021.0941.4
ACM-GCNII2021.0941.37
ACM-GCNII*2021.0941.27
ACM-Snowball-32021.0941.27
ACMII-Snowball-22021.0941.1
GCNII2021.0940.82
GCNII2026.0340.82
ACMII-Snowball-32021.0940.31
ACM-SGC-22021.0940.13
ACM-SGC-12021.0939.33
GPRGNN*2021.0939.3
GPRGNN2026.0339.3
GGCN2026.0339.29
APPNP*2021.0938.86
H2GCN2026.0338.85
GloGNN++2026.0338.8
MLP-2*2021.0938.58
MLP2026.0338.58
GraphSAGE2021.0936.37
Snowball-32021.0936
Snowball-32026.0336
GAT*2021.0935.98
GAT2026.0335.98
Snowball-22021.0935.97
Snowball-22026.0335.97
GCN2021.0935.51
GAT+JK2021.0935.41
GAT+JK2026.0335.41
MixHop2021.0933.13
GCN+JK2021.0932.72
GCN+JK2026.0332.72
Geom-GCN†2021.0931.63
FAGCN2021.0931.59
FAGCN2026.0331.59
SGC-22021.0928.81
SGC-22026.0328.81
SGC-12021.0925.26