Node Classification on Elo-Photo (test) benchmark leaderboard · SOTA2 Research

Node Classification on Elo-Photo (test)

84.7AccuracyUltraTAG-S

Evaluation Results

Method	Links
UltraTAG-S2025.04		84.7
ENGINE2025.04		83.06
TAPE2025.04		82.26
SimTeG2025.04		79.82
UltraTAG-S2025.04		79.21
GLEM2025.04		77.74
TAPE2025.04		76.21
ENGINE2025.04		73.4
GraphSAGE2025.04		70.48
RoBERTa2025.04		70.25
DeBERTa2025.04		70.18
BERT2025.04		70.01
GCN2025.04		69.49
UltraTAG-S2025.04		68.79
SimTeG2025.04		67.76
GLEM2025.04		65.25
GAT2025.04		64.22
GCN2025.04		62.61
GraphSAGE2025.04		62.61
GCNII2025.04		60.6
TAPE2025.04		59.76
GAT2025.04		59.32
ENGINE2025.04		57.96
BERT2025.04		57.41
DeBERTa2025.04		57.39
RoBERTa2025.04		57.25
GLEM2025.04		56.25
SimTeG2025.04		55.73
GCNII2025.04		53.77
GraphSAGE2025.04		52.17
GCN2025.04		51.27
GAT2025.04		50.35
BERT2025.04		49.59
RoBERTa2025.04		49.52
DeBERTa2025.04		47.96
MLP2025.04		47.45
MLP2025.04		46.57
MLP2025.04		46.21
GCNII2025.04		45.53