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ResearchFormerly WizWand

Node Classification on ogbn-proteins

91.75ROC AUCUniMP
70.523676.034381.54587.0557Jun 13, 2020Jun 10, 2021Jun 7, 2022Jun 4, 2023May 31, 2024May 28, 2025May 25, 2026
Updated 5mo ago

Evaluation results

MethodLinks
UniMPParams=1,909,1042020.0991.75
DeeperGCNParams=2,374,5682020.0991.06
MWE-DGCNParams=538,5442020.0989.73
DeepGCNParams=2,374,4562020.0989.21
DeeperGCN2020.0685.8
DeeperGCN2022.0585.8
GAT*implementation=this paper2024.0685.01
GAT†Recipe=Deep2026.0585.01
tGNN2022.0582.55
GraphSAGE*implementation=this paper2024.0682.21
SAGE†Recipe=Deep2026.0582.21
GQT2025.1082.13
HGODE2026.0481.24
HGODE2026.0481.24
SPEXPHORMERMemory (MB)=2232, Batch Size=256, Hidden Dimension=64, Number of layers=2, Number of Parameters=79,2242024.1180.65
DRAGON2026.0480.46
GOAT + HDSE2023.0880.34
FROND2026.0480.26
HGODEvariant=w/o force margin2026.0480.24
TAU2025.1080.12
SGFormer*implementation=this paper2024.0679.92
SGFormer2026.0479.84
SGFormer2023.0879.53
SGFormerLearning Setting=Transductive2024.0579.53
SGFormerimplementation=referenced2024.0679.53
Polynormer*implementation=this paper2024.0679.53
SGFORMER2024.1179.53
SGFormer2026.0579.53
SAGELearning Setting=Transductive, Infer. Time=158.1ms, Storage Space=129.4MB2024.0579.43
Polynormer2026.0479.41
GOAT*implementation=this paper2024.0679.31
FLODE2026.0479.23
GREAD-BS2026.0479.21
Polynormerimplementation=referenced2024.0678.97
Polynormervariant=no-edge-feature2026.0578.97
Sheaf Diff.2026.0478.96
BuNN2026.0478.92
GREAD-Exp2026.0478.61
GOAT2023.0878.37
SAGMM2025.1178.15
AGT2023.0878.13
GaAN2020.0678
NodeFormer*implementation=this paper2024.0677.86
GCN+2026.0477.84
GraphSAGE2020.0677.7
GraphSAGE2022.0577.68
GraphSAGEimplementation=referenced2024.0677.68
Exphormer*implementation=this paper2024.0677.62
Graph CNN2025.1177.54
NodeFormer2023.0877.45
NodeFormerimplementation=referenced2024.0677.45
NODEFORMER2024.1177.45
NodeFormer2025.1077.45
GCN*implementation=this paper2024.0677.29
GCN†Recipe=Deep2026.0577.29
GraphGPS2026.0477.25
HGODEvariant=w/o topo. search2026.0477.19
GraphGPS*implementation=this paper2024.0677.15
CGNN2026.0477.12
GraphGPSLearning Setting=Transductive2024.0576.83
GraphGPSimplementation=referenced2024.0676.83
GraphGPS2025.1076.83
GraphGPS2026.0576.83
NID_SAGELearning Setting=Transductive, Infer. Time=0.4ms, Storage Space=0.4MB2024.0576.78
GRAND2026.0476.45
SAGMM-PEexpert_training=pretrained and frozen2025.1176.28
PolynormerLearning Setting=Transductive2024.0575.97
GPRGNNLearning Setting=Transductive2024.0575.68
GPRGNN2025.1075.68
JKNet2025.1175.67
GCNII2026.0475.64
HGODEvariant=w/o hysteresis2026.0475.26
DA-MoE2025.1175.22
HSGT2023.0875.12
OURSTier=32026.0574.87
ANS-GT2023.0874.67
GAT-NSAMPLER2024.1174.63
GDE2026.0474.63
Exphormerimplementation=referenced2024.0674.58
Exphormer2025.1074.58
GMoE-GCN2025.1174.48
GOATimplementation=referenced2024.0674.18
MixHop2025.1173.64
NAGphormerimplementation=referenced2024.0673.61
NAGphormer2025.1073.61
GCN-NSAMPLER2024.1173.51
GraphSAGE2025.1173.21
GCN2022.0572.51
GCN2023.0872.51
GCNimplementation=referenced2024.0672.51
GCN2024.1172.51
GCN2025.1072.51
OGB-GCN2026.0572.51
NAGphormer*implementation=this paper2024.0672.17
MLP2022.0572.04
MLP2024.1172.04
GATimplementation=referenced2024.0672.02
GAT2025.1072.02
LINKXLearning Setting=Transductive2024.0571.37
SIGN2023.0871.34