Node Classification on Coauthor-CS (test)
96.21AccuracySAGE
Evaluation results
| Method | Links | |
|---|---|---|
| SAGE2026.01 | 96.21 | |
| GAT2026.01 | 96.14 | |
| D2MoEBackbone=GCN, Method Category=Ours2026.04 | 95.82 | |
| EXPHORMER2023.03 | 95.77 | |
| NAGphormer2023.03 | 95.75 | |
| GCN2026.01 | 95.73 | |
| D2MoEBackbone=GAT, Method Category=Ours2026.04 | 95.71 | |
| H2GCN-2020Method Category=HETERO2026.04 | 95.62 | |
| EXPHORMER-2023Method Category=GT2026.04 | 95.62 | |
| FSGNN-2022Method Category=HETERO2026.04 | 95.51 | |
| DIFFORMER-2023Method Category=GT2026.04 | 95.49 | |
| ACMGCN-2022Method Category=HETERO2026.04 | 95.47 | |
| D2MoEBackbone=SAGE, Method Category=Ours2026.04 | 95.42 | |
| FAFselection=best validation2026.01 | 95.37 | |
| GGCN2026.05 | 95.3 | |
| SGFORMER-2024Method Category=GT2026.04 | 95.21 | |
| GPRGNN-2021Method Category=HETERO2026.04 | 95.17 | |
| GPRGNN2026.05 | 95.1 | |
| HOGA+robust diffusion operators=true, HRP=true2026.05 | 95.1 | |
| O-GNN2026.05 | 95 | |
| NAGFORMER-2023Method Category=GT2026.04 | 94.96 | |
| FAGCN-2021Method Category=HETERO2026.04 | 94.93 | |
| GAMLP+robust diffusion operators=true, HRP=true, label inputs=false, variant=GAMLP-R2026.05 | 94.9 | |
| GARNN+robust diffusion operators=true, HRP=true2026.05 | 94.9 | |
| MLPMethod Category=VANILLA2026.04 | 94.8 | |
| GAMLPstandard diffusion operators=true, label inputs=false, variant=GAMLP-R2026.05 | 94.8 | |
| MOSCAT-2025Method Category=GRAPH MOE2026.04 | 94.78 | |
| SIGN+robust diffusion operators=true, HRP=true2026.05 | 94.7 | |
| VANILLA GTMethod Category=GT2026.04 | 94.61 | |
| HOGAstandard diffusion operators=true2026.05 | 94.6 | |
| SAN2023.03 | 94.51 | |
| MOWST-2024Method Category=GRAPH MOE2026.04 | 94.51 | |
| APPNP2026.05 | 94.5 | |
| GARNNstandard diffusion operators=true2026.05 | 94.5 | |
| RC-UFGContext=Hom2026.03 | 94.2 | |
| SAGEMethod Category=VANILLA2026.04 | 94.17 | |
| GraphGPS2023.03 | 93.93 | |
| ANS-GT-2022Method Category=GT2026.04 | 93.93 | |
| SAGE2026.05 | 93.9 | |
| SIGNstandard diffusion operators=true2026.05 | 93.9 | |
| GAT2026.05 | 93.6 | |
| MLPBackbone=MLP2025.05 | 93.55 | |
| GCNBBackbone=2-layer GCN2025.05 | 93.54 | |
| DAMOE-2025Method Category=GRAPH MOE2026.04 | 93.42 | |
| GCNMethod Category=VANILLA2026.04 | 93.4 | |
| CCA-SSGInput=X, A, Learning Paradigm=Unsupervised2021.06 | 93.31 | |
| GEGCN2026.03 | 93.2 | |
| GATMethod Category=VANILLA2026.04 | 93.2 | |
| GMOE-2023Method Category=GRAPH MOE2026.04 | 93.18 | |
| INGNNAverage Rank=1.782022.10 | 93.15 | |
| Linear CCAInput=X, Learning Paradigm=Unsupervised2021.06 | 93.13 | |
| GCAInput=X, A, Learning Paradigm=Unsupervised2021.06 | 93.1 | |
| TransformerBackbone=Transformer, Watermarking Status=Wmk2025.01 | 93.1 | |
| GCNInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 93.03 | |
| UFGConvVariant=R2026.03 | 93 | |
| GRACEInput=X, A, Learning Paradigm=Unsupervised2021.06 | 92.93 | |
| CurvGN2026.03 | 92.9 | |
| GCN2026.05 | 92.9 | |
| tGNN2026.05 | 92.9 | |
| Double Bracketsplit=random 80/10/10, average_runs=202023.05 | 92.5 | |
| PPRGo2026.05 | 92.5 | |
| GRAND-nlsplit=random 80/10/10, average_runs=202023.05 | 92.4 | |
| GATInput=X, A, Y, Learning Paradigm=Supervised2021.06 | 92.31 | |
| Gradientsplit=random 80/10/10, average_runs=202023.05 | 92.2 | |
| TransformerBackbone=Transformer, Watermarking Status=No Wmk2025.01 | 92.2 | |
| GCNII2026.05 | 92.2 | |
| DGIInput=X, A, Learning Paradigm=Unsupervised2021.06 | 92.15 | |
| MVGRLInput=X, S, A, Learning Paradigm=Unsupervised2021.06 | 92.11 | |
| UFGConvVariant=S2026.03 | 92.1 | |
| DropMessageBackbone=2-layer GCN2025.05 | 92.08 | |
| Hamiltoniansplit=random 80/10/10, average_runs=202023.05 | 92 | |
| DropNodeBackbone=2-layer GCN2025.05 | 91.93 | |
| DropEdgeBackbone=2-layer GCN2025.05 | 91.91 | |
| GCNBackbone=2-layer GCN2025.05 | 91.85 | |
| GraphMix (GCN)backbone=GCN2019.09 | 91.83 | |
| DAGNNAverage Rank=6.782022.10 | 91.83 | |
| GPRGNN2026.03 | 91.8 | |
| GraphPatcherBackbone=2-layer GCN2025.05 | 91.74 | |
| GDEsplit=random 80/10/10, average_runs=202023.05 | 91.6 | |
| APPNP2026.03 | 91.5 | |
| GraphMix (Graph-U-Net)backbone=Graph-U-Net2019.09 | 91.44 | |
| BernNetAverage Rank=8.442022.10 | 91.43 | |
| GS-Meanreported_in=Shchur et al., 20182019.09 | 91.3 | |
| GraphSAGE2026.03 | 91.3 | |
| GCNimplementation=this paper2019.09 | 91.27 | |
| H2GCNAverage Rank=5.862022.10 | 91.18 | |
| GCNreported_in=Shchur et al., 20182019.09 | 91.1 | |
| GCN2026.03 | 91.1 | |
| JKNet2026.03 | 91.1 | |
| Graph-U-Net2019.09 | 90.89 | |
| TUNEUPBackbone=2-layer GCN2025.05 | 90.89 | |
| MoNetreported_in=Shchur et al., 20182019.09 | 90.8 | |
| AdaGNNAverage Rank=5.332022.10 | 90.8 | |
| MoNet2026.03 | 90.8 | |
| GPR-GNNAverage Rank=5.782022.10 | 90.74 | |
| GATreported_in=Shchur et al., 20182019.09 | 90.5 | |
| ACM-GCNAverage Rank=7.332022.10 | 90.5 | |
| GloGNNAverage Rank=6.332022.10 | 90.5 | |
| GATsplit=random 80/10/10, average_runs=202023.05 | 90.5 | |
| GAT2026.03 | 90.5 |