Node Classification on Film (60%/20%/20% split) benchmark leaderboard · SOTA2 Research

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

43.05Test AccuracyP2GNN

Evaluation Results

Method	Links
P2GNN2026.03		43.05
VR-GNN2026.03		42.16
ACM-GCN2026.03		41.98
ACMII-GCN2021.09		41.84
BernNet2026.03		41.79
ACM-GCN2021.09		41.62
GCNII*2021.09		41.54
ACM-Snowball-22021.09		41.4
ACM-GCNII2021.09		41.37
ACM-GCNII*2021.09		41.27
ACM-Snowball-32021.09		41.27
ACMII-Snowball-22021.09		41.1
GCNII2021.09		40.82
GCNII2026.03		40.82
ACMII-Snowball-32021.09		40.31
ACM-SGC-22021.09		40.13
ACM-SGC-12021.09		39.33
GPRGNN*2021.09		39.3
GPRGNN2026.03		39.3
GGCN2026.03		39.29
APPNP*2021.09		38.86
H2GCN2026.03		38.85
GloGNN++2026.03		38.8
MLP-2*2021.09		38.58
MLP2026.03		38.58
GraphSAGE2021.09		36.37
Snowball-32021.09		36
Snowball-32026.03		36
GAT*2021.09		35.98
GAT2026.03		35.98
Snowball-22021.09		35.97
Snowball-22026.03		35.97
GCN2021.09		35.51
GAT+JK2021.09		35.41
GAT+JK2026.03		35.41
MixHop2021.09		33.13
GCN+JK2021.09		32.72
GCN+JK2026.03		32.72
Geom-GCN†2021.09		31.63
FAGCN2021.09		31.59
FAGCN2026.03		31.59
SGC-22021.09		28.81
SGC-22026.03		28.81
SGC-12021.09		25.26