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ResearchFormerly WizWand

Node Classification on Roman-empire heterophilic (test)

94.77AccuracyNT
58.224467.712277.286.6878May 29, 2025Jul 20, 2025Sep 11, 2025Nov 3, 2025Dec 25, 2025Feb 16, 2026Apr 10, 2026
Updated 6mo ago

Evaluation results

MethodLinks
NTvariant=vanilla2026.0494.77
NT*variant=GT-augmented NT2026.0492.9
Polynormer2026.0492.55
IM-CO-GNNparameters=Σ, Σ2025.0592.08
IM-CO-GNNparameters=μ, μ2025.0592
CO-GNNparameters=Σ, Σ2025.0591.57
CO-GNNparameters=μ, μ2025.0591.37
IM-GatedGCN2025.0590.82
IM-GAT-sep2025.0589.93
Exphormer2025.0589.03
Exphormer2026.0489.03
GAT-sep2025.0588.75
GT-sep2025.0587.32
GPSbackbone=GAT, attention=Performer, pos_encoding=RWSE2025.0587.04
GATpos_encoding=RWSE2025.0586.62
GT2025.0586.51
IM-FAGCN2025.0586.26
GPSbackbone=GAT, attention=Performer, pos_encoding=LapPE2025.0585.93
SAGE2025.0585.74
GPSbackbone=GAT, attention=Performer2025.0585.54
GATstruct_encoding=DEG2025.0585.51
GCNpos_encoding=RWSE2025.0584.84
GATpos_encoding=LapPE2025.0584.8
GPSbackbone=GCN, attention=Performer, pos_encoding=RWSE2025.0584.72
IM-GAT2025.0584.48
GCNstruct_encoding=DEG2025.0584.21
GPSbackbone=GCN, attention=Performer2025.0583.96
IM-GCN2025.0583.53
GPSbackbone=GCN, attention=Performer, struct_encoding=DEG2025.0583.38
GCNpos_encoding=LapPE2025.0583.37
GPS2025.0582
GraphGPS2026.0482
GAT2025.0580.87
FSGNN2025.0579.92
DIFFormer2026.0479.1
GBK-GNN2025.0574.57
Gated-GCN2025.0574.46
NAGphormer2025.0574.34
NAGphormer2026.0474.34
GCN2025.0573.69
GOAT2025.0571.59
GOAT2026.0471.59
JacobiConv2025.0571.14
FAGCN2025.0565.22
GPR-GNN2025.0564.85
NodeFormer2026.0464.49
CPGNN2025.0563.96
H2GCN2025.0560.11
GloGNN2025.0559.63