Node Classification on Amazon Computer (test)
94.01AccuracyFAF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FAFselection=best validation2026.01 | 94.01 | — | — | |
| GAT2026.01 | 93.91 | — | — | |
| GCN2026.01 | 93.58 | — | — | |
| SAGE2026.01 | 93.31 | — | — | |
| GARNN+robust diffusion operators=true, HRP=true2026.05 | 92.1 | — | — | |
| O-GNN2026.05 | 92 | — | — | |
| GGCN2026.05 | 91.8 | — | — | |
| SIGN+robust diffusion operators=true, HRP=true2026.05 | 91.7 | — | — | |
| GAMLP+robust diffusion operators=true, HRP=true, label inputs=false, variant=GAMLP-R2026.05 | 91.6 | — | — | |
| EXPHORMER2023.03 | 91.59 | — | — | |
| HOGA+robust diffusion operators=true, HRP=true2026.05 | 91.4 | — | — | |
| NAGphormer2023.03 | 91.22 | — | — | |
| SAGE2026.05 | 91.2 | — | — | |
| GCNII2026.05 | 91 | — | — | |
| GAT2026.05 | 90.8 | — | — | |
| DDMLearning Setup=unsupervised representation learning with linear classifier2023.06 | 90.56 | — | — | |
| APPNP2026.05 | 90.2 | — | — | |
| SAN2023.03 | 89.83 | — | — | |
| GCN2026.05 | 89.7 | — | — | |
| BGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 89.68 | — | — | |
| GPRGNN2026.05 | 89.3 | — | — | |
| GCNBBackbone=2-layer GCN2025.05 | 88.76 | — | — | |
| CCA-SSGInput=X, A, Learning Paradigm=Unsupervised2021.06 | 88.74 | — | — | |
| CCA-SSGLearning Setup=unsupervised representation learning with linear classifier2023.06 | 88.74 | — | — | |
| PPRGo2026.05 | 88.7 | — | — | |
| GraphMAELearning Setup=unsupervised representation learning with linear classifier2023.06 | 88.63 | — | — | |
| DropMessageBackbone=2-layer GCN2025.05 | 88.52 | — | — | |
| GraphPatcherBackbone=2-layer GCN2025.05 | 88.49 | — | — | |
| GCNBackbone=2-layer GCN2025.05 | 88.24 | — | — | |
| DropNodeBackbone=2-layer GCN2025.05 | 88.17 | — | — | |
| TUNEUPBackbone=2-layer GCN2025.05 | 88.14 | — | — | |
| DropEdgeBackbone=2-layer GCN2025.05 | 88.08 | — | — | |
| GCAInput=X, A, Learning Paradigm=Unsupervised2021.06 | 87.85 | — | — | |
| MVGRLInput=X, S, A, Learning Paradigm=Unsupervised2021.06 | 87.52 | — | — | |
| MVGRLLearning Setup=unsupervised representation learning with linear classifier2023.06 | 87.52 | — | — | |
| GATInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 86.93 | — | — | |
| GATLearning Setup=unsupervised representation learning with linear classifier2023.06 | 86.93 | — | — | |
| GAMLPstandard diffusion operators=true, label inputs=false, variant=GAMLP-R2026.05 | 86.8 | — | — | |
| GCNdiffusion=Heat2019.10 | 86.77 | — | — | |
| GATdiffusion=Heat2019.10 | 86.68 | — | — | |
| GATdiffusion=AdaDIF2019.10 | 86.55 | — | — | |
| GCNInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 86.51 | — | — | |
| JKdiffusion=Heat2019.10 | 86.51 | — | — | |
| DeepWalk + featuresInput=X, A, Learning Paradigm=Unsupervised2021.06 | 86.28 | — | — | |
| GRACEInput=X, A, Learning Paradigm=Unsupervised2021.06 | 86.25 | — | — | |
| ARMAdiffusion=Heat2019.10 | 86.09 | — | — | |
| GCNdiffusion=PPR2019.10 | 86.04 | — | — | |
| GCNdiffusion=AdaDIF2019.10 | 85.73 | — | — | |
| DeepWalkInput=A, Learning Paradigm=Unsupervised2021.06 | 85.68 | — | — | |
| JKdiffusion=PPR2019.10 | 85.66 | — | — | |
| GATdiffusion=PPR2019.10 | 85.37 | — | — | |
| GARNNstandard diffusion operators=true2026.05 | 85.3 | — | — | |
| GAEInput=X, A, Learning Paradigm=Unsupervised2021.06 | 85.27 | — | — | |
| ARMAdiffusion=PPR2019.10 | 84.92 | — | — | |
| ARMAdiffusion=AdaDIF2019.10 | 84.92 | — | — | |
| SDSS-GCNFramework=SDSS2021.12 | 84.86 | — | — | |
| GCNdiffusion=none2019.10 | 84.75 | — | — | |
| GRANDFramework=Vanilla2021.12 | 84.7 | — | — | |
| SDSS-SAGEFramework=SDSS2021.12 | 84.66 | — | — | |
| SDSS-APPNPFramework=SDSS2021.12 | 84.66 | — | — | |
| HOGAstandard diffusion operators=true2026.05 | 84.5 | — | — | |
| JKdiffusion=AdaDIF2019.10 | 84.4 | — | — | |
| ARMAdiffusion=none2019.10 | 84.36 | — | — | |
| SIGNstandard diffusion operators=true2026.05 | 84.2 | — | — | |
| SDSS-GCNIIFramework=SDSS2021.12 | 84.07 | — | — | |
| SDSS-GATFramework=SDSS2021.12 | 84.02 | — | — | |
| DGIInput=X, A, Learning Paradigm=Unsupervised2021.06 | 83.95 | — | — | |
| DGILearning Setup=unsupervised representation learning with linear classifier2023.06 | 83.95 | — | — | |
| DropEdgeFramework=Vanilla2021.12 | 83.4 | — | — | |
| tGNN2026.05 | 83.4 | — | — | |
| JKdiffusion=none2019.10 | 83.33 | — | — | |
| GMNNFramework=Vanilla2021.12 | 83.3 | — | — | |
| GCNFramework=Vanilla2021.12 | 83.18 | — | — | |
| Graph U-NetFramework=Vanilla2021.12 | 83.1 | — | — | |
| GCNIIFramework=Vanilla2021.12 | 83.04 | — | — | |
| SGCFramework=Vanilla2021.12 | 82.48 | — | — | |
| FastGCNFramework=Vanilla2021.12 | 82.1 | — | — | |
| APPNPFramework=Vanilla2021.12 | 81.76 | — | — | |
| APPNPdiffusion=none2019.10 | 81.72 | — | — | |
| GINdiffusion=Heat2019.10 | 81.11 | — | — | |
| GATFramework=Vanilla2021.12 | 81.07 | — | — | |
| MixHopFramework=Vanilla2021.12 | 80.9 | — | — | |
| MLPBackbone=MLP2025.05 | 80.81 | — | — | |
| Linear CCAInput=X, Learning Paradigm=Unsupervised2021.06 | 79.84 | — | — | |
| WG-SRCn=102026.04 | 78.71 | 1.15 | 1.87 | |
| GraphSAGEFramework=Vanilla2021.12 | 77.6 | — | — | |
| GraphSAGEn=102026.04 | 76.84 | 2.28 | — | |
| GINdiffusion=PPR2019.10 | 75.08 | — | — | |
| Raw FeaturesInput=X, Learning Paradigm=Unsupervised2021.06 | 73.81 | — | — | |
| DCSBMdiffusion=PPR2019.10 | 57.92 | — | — | |
| GINdiffusion=AdaDIF2019.10 | 56.52 | — | — | |
| DeepWalkdiffusion=Heat2019.10 | 56.29 | — | — | |
| DCSBMdiffusion=Heat2019.10 | 55.8 | — | — | |
| DeepWalkdiffusion=none2019.10 | 55.61 | — | — | |
| GINdiffusion=none2019.10 | 55.44 | — | — | |
| DeepWalkdiffusion=PPR2019.10 | 55.05 | — | — | |
| Spectraldiffusion=PPR2019.10 | 52.62 | — | — | |
| Spectraldiffusion=Heat2019.10 | 50.89 | — | — | |
| GATdiffusion=none2019.10 | 45.37 | — | — | |
| DCSBMdiffusion=none2019.10 | 44.61 | — | — |