Node Classification on Amazon Photo (test)
96.54AccuracyFAF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FAFselection=best validation2026.01 | 96.54 | — | — | |
| GAT2026.01 | 96.45 | — | — | |
| SAGE2026.01 | 96.17 | — | — | |
| GCN2026.01 | 95.77 | — | — | |
| NAGphormer2023.03 | 95.49 | — | — | |
| GAMLP+robust diffusion operators=true, HRP=true, label inputs=false, variant=GAMLP-R2026.05 | 95.3 | — | — | |
| EXPHORMER2023.03 | 95.27 | — | — | |
| O-GNN2026.05 | 95.1 | — | — | |
| DDMLearning Setup=unsupervised representation learning with linear classifier2023.06 | 95.09 | — | — | |
| GraphGPS2023.03 | 95.06 | — | — | |
| SAN2023.03 | 94.86 | — | — | |
| GARNN+robust diffusion operators=true, HRP=true2026.05 | 94.8 | — | — | |
| SAGE2026.05 | 94.6 | — | — | |
| GPRGNN2026.05 | 94.5 | — | — | |
| GGCN2026.05 | 94.5 | — | — | |
| GCNII2026.05 | 94.3 | — | — | |
| APPNP2026.05 | 94.3 | — | — | |
| SIGN+robust diffusion operators=true, HRP=true2026.05 | 94.3 | — | — | |
| HOGA+robust diffusion operators=true, HRP=true2026.05 | 94.2 | — | — | |
| GEGCN2026.03 | 94.1 | — | — | |
| GAT2026.05 | 93.9 | — | — | |
| GraphMAELearning Setup=unsupervised representation learning with linear classifier2023.06 | 93.63 | — | — | |
| PPRGo2026.05 | 93.6 | — | — | |
| RC-UFGContext=Hom2026.03 | 93.5 | — | — | |
| CCA-SSGInput=X, A, Learning Paradigm=Unsupervised2021.06 | 93.14 | — | — | |
| CCA-SSGLearning Setup=unsupervised representation learning with linear classifier2023.06 | 93.14 | — | — | |
| JKdiffusion=Heat2019.10 | 92.93 | — | — | |
| GraphPatcherBackbone=2-layer GCN2025.05 | 92.89 | — | — | |
| BGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 92.87 | — | — | |
| GCNdiffusion=Heat2019.10 | 92.82 | — | — | |
| GCN2026.05 | 92.7 | — | — | |
| GATInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 92.56 | — | — | |
| GATLearning Setup=unsupervised representation learning with linear classifier2023.06 | 92.56 | — | — | |
| CurvGN2026.03 | 92.5 | — | — | |
| UFGConvVariant=R2026.03 | 92.5 | — | — | |
| GCAInput=X, A, Learning Paradigm=Unsupervised2021.06 | 92.49 | — | — | |
| GCNBBackbone=2-layer GCN2025.05 | 92.44 | — | — | |
| GCNInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 92.42 | — | — | |
| GCNdiffusion=AdaDIF2019.10 | 92.37 | — | — | |
| JKdiffusion=PPR2019.10 | 92.37 | — | — | |
| JKdiffusion=AdaDIF2019.10 | 92.34 | — | — | |
| GCNBackbone=2-layer GCN2025.05 | 92.21 | — | — | |
| GCNdiffusion=PPR2019.10 | 92.2 | — | — | |
| GRACEInput=X, A, Learning Paradigm=Unsupervised2021.06 | 92.15 | — | — | |
| DropEdgeBackbone=2-layer GCN2025.05 | 92.14 | — | — | |
| DropMessageBackbone=2-layer GCN2025.05 | 92.13 | — | — | |
| TUNEUPBackbone=2-layer GCN2025.05 | 92.11 | — | — | |
| UFGConvVariant=S2026.03 | 92.1 | — | — | |
| GARNNstandard diffusion operators=true2026.05 | 92.1 | — | — | |
| GCNdiffusion=none2019.10 | 92.08 | — | — | |
| ARMAdiffusion=Heat2019.10 | 92.05 | — | — | |
| HOGAstandard diffusion operators=true2026.05 | 91.9 | — | — | |
| DropNodeBackbone=2-layer GCN2025.05 | 91.89 | — | — | |
| GATdiffusion=Heat2019.10 | 91.86 | — | — | |
| MVGRLInput=X, S, A, Learning Paradigm=Unsupervised2021.06 | 91.74 | — | — | |
| MVGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 91.74 | — | — | |
| GATdiffusion=AdaDIF2019.10 | 91.65 | — | — | |
| GAEInput=X, A, Learning Paradigm=Unsupervised2021.06 | 91.62 | — | — | |
| DGIInput=X, A, Learning Paradigm=Unsupervised2021.06 | 91.61 | — | — | |
| DGILearning Setup=unsupervised representation learning with linear classifier2023.06 | 91.61 | — | — | |
| APPNPdiffusion=none2019.10 | 91.42 | — | — | |
| ARMAdiffusion=none2019.10 | 91.41 | — | — | |
| GraphSAGE2026.03 | 91.4 | — | — | |
| MoNet2026.03 | 91.2 | — | — | |
| GCN2026.03 | 91.2 | — | — | |
| GAMLPstandard diffusion operators=true, label inputs=false, variant=GAMLP-R2026.05 | 91.2 | — | — | |
| ARMAdiffusion=PPR2019.10 | 91.09 | — | — | |
| JKdiffusion=none2019.10 | 91.07 | — | — | |
| GATdiffusion=PPR2019.10 | 90.89 | — | — | |
| SAGEBackbone=SAGE, Watermarking Status=Wmk2025.01 | 90.8 | — | — | |
| TransformerBackbone=Transformer, Watermarking Status=Wmk2025.01 | 90.7 | — | — | |
| SIGNstandard diffusion operators=true2026.05 | 90.5 | — | — | |
| ARMAdiffusion=AdaDIF2019.10 | 90.38 | — | — | |
| DeepWalk + featuresInput=X, A, Learning Paradigm=Unsupervised2021.06 | 90.05 | — | — | |
| SGCBackbone=SGC, Watermarking Status=Wmk2025.01 | 89.9 | — | — | |
| tGNN2026.05 | 89.9 | — | — | |
| RC-UFGContext=Het2026.03 | 89.5 | — | — | |
| DeepWalkInput=A, Learning Paradigm=Unsupervised2021.06 | 89.44 | — | — | |
| GCNBackbone=GCN, Watermarking Status=Wmk2025.01 | 89.4 | — | — | |
| WG-SRCn=102026.04 | 88.76 | 1.35 | 0.39 | |
| GraphSAGEn=102026.04 | 88.37 | 1.86 | — | |
| GCNBackbone=GCN, Watermarking Status=No Wmk2025.01 | 88.3 | — | — | |
| SAGEBackbone=SAGE, Watermarking Status=No Wmk2025.01 | 88.2 | — | — | |
| SGCBackbone=SGC, Watermarking Status=No Wmk2025.01 | 88 | — | — | |
| GINdiffusion=Heat2019.10 | 87.24 | — | — | |
| APPNP2026.03 | 87 | — | — | |
| GPRGNN2026.03 | 87 | — | — | |
| Linear CCAInput=X, Learning Paradigm=Unsupervised2021.06 | 86.92 | — | — | |
| TransformerBackbone=Transformer, Watermarking Status=No Wmk2025.01 | 86.8 | — | — | |
| JKNet2026.03 | 86.1 | — | — | |
| MLPBackbone=MLP2025.05 | 85.97 | — | — | |
| GAT2026.03 | 85.1 | — | — | |
| GINdiffusion=PPR2019.10 | 83.41 | — | — | |
| DeepWalkdiffusion=Heat2019.10 | 79.26 | — | — | |
| DeepWalkdiffusion=none2019.10 | 78.82 | — | — | |
| DeepWalkdiffusion=PPR2019.10 | 78.73 | — | — | |
| Raw FeaturesInput=X, Learning Paradigm=Unsupervised2021.06 | 78.53 | — | — | |
| GINdiffusion=AdaDIF2019.10 | 75.37 | — | — | |
| MLP2026.03 | 69.6 | — | — | |
| MOCHI++k-shot=512, Readout head=MLP2026.04 | 68.62 | — | — |