Node Classification on Cora (test) (Standard Metrics and Deltas)
88.09AccuracyGraphSAGE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GraphSAGECategory=GNNs2026.06 | 88.09 | — | — | — | |
| GCNCategory=GNNs2026.06 | 87.96 | — | — | — | |
| GCNBackbone=GCN, Cascade Strategy=None2026.06 | 87.96 | — | — | — | |
| GCNMethod Category=GNN-based Architectures2026.06 | 87.96 | — | — | — | |
| OrderedGNN2026.06 | 87.47 | — | — | — | |
| GATCategory=GNNs2026.06 | 87.38 | — | — | — | |
| GRAPH CASCADESVariant=GCN-TAS2026.06 | 87.29 | — | — | — | |
| CR-Graphormer2026.06 | 87.29 | — | — | — | |
| GCN-TASBackbone=GCN, Cascade Strategy=TAS2026.06 | 87.29 | — | — | — | |
| GCN-TASMethod Category=GNN-based Architectures, Rewiring=TAS2026.06 | 87.29 | — | — | — | |
| H2GCN2026.06 | 87.06 | — | — | — | |
| NAG-TASBackbone=NAG, Cascade Strategy=TAS2026.06 | 86.82 | — | — | — | |
| NAG-TASMethod Category=Tokenized Sparse-Attention GTs, Rewiring=TAS2026.06 | 86.82 | — | — | — | |
| NAGCategory=GTs2026.06 | 86.75 | — | — | — | |
| NAGBackbone=NAG, Cascade Strategy=None2026.06 | 86.75 | — | — | — | |
| NAGMethod Category=Tokenized Sparse-Attention GTs2026.06 | 86.75 | — | — | — | |
| GEGCN2026.03 | 86.7 | — | — | — | |
| GraphGPSCategory=GTs2026.06 | 86.65 | — | — | — | |
| GraphGPSBackbone=GraphGPS, Cascade Strategy=None2026.06 | 86.65 | — | — | — | |
| GraphGPSMethod Category=GNN-based Architectures2026.06 | 86.65 | — | — | — | |
| GPS-TASBackbone=GraphGPS, Cascade Strategy=TAS2026.06 | 86.53 | — | — | — | |
| GPS-TASMethod Category=GNN-based Architectures, Rewiring=TAS2026.06 | 86.53 | — | — | — | |
| ACMGCN2026.06 | 85.49 | — | — | — | |
| GPS-MASBackbone=GraphGPS, Cascade Strategy=MAS2026.06 | 85.49 | — | — | — | |
| GPS-MASMethod Category=GNN-based Architectures, Rewiring=MAS2026.06 | 85.49 | — | — | — | |
| SPGCLTraining Data=X, A2026.06 | 85.44 | — | — | — | |
| GTCategory=GTs2026.06 | 85.41 | — | — | — | |
| VCRCategory=GTs2026.06 | 85.41 | — | — | — | |
| VCRBackbone=VCR, Cascade Strategy=None2026.06 | 85.41 | — | — | — | |
| VCRMethod Category=Tokenized Sparse-Attention GTs2026.06 | 85.41 | — | — | — | |
| M2MGNN2026.06 | 85.26 | — | — | — | |
| VCR-TASBackbone=VCR, Cascade Strategy=TAS2026.06 | 85.11 | — | — | — | |
| VCR-TASMethod Category=Tokenized Sparse-Attention GTs, Rewiring=TAS2026.06 | 85.11 | — | — | — | |
| VCR-MASBackbone=VCR, Cascade Strategy=MAS2026.06 | 85.08 | — | — | — | |
| VCR-MASMethod Category=Tokenized Sparse-Attention GTs, Rewiring=MAS2026.06 | 85.08 | — | — | — | |
| GCATraining Data=X, A2026.06 | 85.08 | — | — | — | |
| SANCategory=GTs2026.06 | 85.07 | — | — | — | |
| GCN-MASBackbone=GCN, Cascade Strategy=MAS2026.06 | 84.93 | — | — | — | |
| GCN-MASMethod Category=GNN-based Architectures, Rewiring=MAS2026.06 | 84.93 | — | — | — | |
| ProGCLTraining Data=X, A2026.06 | 84.91 | — | — | — | |
| StrGCLTraining Data=X, A2026.06 | 84.86 | — | — | — | |
| GCNBBackbone=2-layer GCN2025.05 | 84.84 | — | — | — | |
| NAG-MASBackbone=NAG, Cascade Strategy=MAS2026.06 | 84.84 | — | — | — | |
| NAG-MASMethod Category=Tokenized Sparse-Attention GTs, Rewiring=MAS2026.06 | 84.84 | — | — | — | |
| LocalGCLTraining Data=X, A2026.06 | 84.82 | — | — | — | |
| SCETraining Data=X, A2026.06 | 84.72 | — | — | — | |
| CMGNN2026.06 | 84.67 | — | — | — | |
| RC-UFGContext=Hom2026.03 | 84.4 | — | — | — | |
| PPRGoCategory=GNNs2026.06 | 84.3 | — | — | — | |
| GRACETraining Data=X, A2026.06 | 84.23 | — | — | — | |
| E2NegTraining Data=X, A2026.06 | 84.2 | — | — | — | |
| GloGNN2026.06 | 84.05 | — | — | — | |
| SGRLTraining Data=X, A2026.06 | 83.93 | — | — | — | |
| GPRGNN2026.03 | 83.8 | — | — | — | |
| DGITraining Data=X, A2026.06 | 83.72 | — | — | — | |
| JKNet2026.03 | 83.7 | — | — | — | |
| GRAND+Category=GNNs2026.06 | 83.7 | — | — | — | |
| DropNodeBackbone=2-layer GCN2025.05 | 83.65 | — | — | — | |
| UFGConvVariant=R2026.03 | 83.6 | — | — | — | |
| TUNEUPBackbone=2-layer GCN2025.05 | 83.59 | — | — | — | |
| GraphPatcherBackbone=2-layer GCN2025.05 | 83.57 | — | — | — | |
| PolyFormerCategory=GTs2026.06 | 83.51 | — | — | — | |
| APPNP2026.03 | 83.5 | — | — | — | |
| DropMessageBackbone=2-layer GCN2025.05 | 83.45 | — | — | — | |
| GCNBackbone=2-layer GCN2025.05 | 83.44 | — | — | — | |
| DropEdgeBackbone=2-layer GCN2025.05 | 83.27 | — | — | — | |
| BGRLTraining Data=X, A2026.06 | 83.25 | — | — | — | |
| GAT2026.03 | 83 | — | — | — | |
| UFGConvVariant=S2026.03 | 83 | — | — | — | |
| GCNTraining Data=X, A, Y2026.06 | 82.8 | — | — | — | |
| SP-ESGCRatio (r)=2.60%2026.05 | 82.7 | — | — | — | |
| CSGCLTraining Data=X, A2026.06 | 82.66 | — | — | — | |
| CurvGN2026.03 | 82.6 | — | — | — | |
| SP-ESGCRatio (r)=1.30%2026.05 | 82.6 | — | — | — | |
| SP-ESGCRatio (r)=5.20%2026.05 | 82.5 | — | — | — | |
| SpecFormerCategory=GTs2026.06 | 82.49 | — | — | — | |
| SIGNATraining Data=X, A2026.06 | 82.19 | — | — | — | |
| SimGCRatio (r)=5.20%2026.05 | 82.1 | — | — | — | |
| MoNet2026.03 | 81.7 | — | — | — | |
| SFGCRatio (r)=2.60%2026.05 | 81.7 | — | — | — | |
| SFGCRatio (r)=5.20%2026.05 | 81.6 | — | — | — | |
| GCN2026.03 | 81.5 | — | — | — | |
| GC-SNTKRatio (r)=2.60%2026.05 | 81.5 | — | — | — | |
| Temp_gatedbackbone=GAT, gating=true, temperature=true2026.05 | 81.45 | — | — | — | |
| SGFormerCategory=GTs2026.06 | 81.41 | — | — | — | |
| Temp_onlybackbone=GAT, temperature=true2026.05 | 81.35 | — | — | — | |
| Gated_tempbackbone=GAT, gating=true, temperature=true2026.05 | 81.34 | — | — | — | |
| GC-SNTKRatio (r)=1.30%2026.05 | 81.3 | — | — | — | |
| GC-SNTKRatio (r)=5.20%2026.05 | 81.3 | — | — | — | |
| Temp_gated_v2backbone=GATv2, gating=true, temperature=true2026.05 | 81.21 | — | — | — | |
| Gated_temp_v2backbone=GATv2, gating=true, temperature=true2026.05 | 81.21 | — | — | — | |
| Whole Dataset2026.05 | 81.2 | — | — | — | |
| Gated_v2backbone=GATv2, gating=true2026.05 | 81.13 | — | — | — | |
| CR-TASBackbone=CR-Graphormer, Cascade Strategy=TAS2026.06 | 81.02 | — | — | — | |
| CR-TASMethod Category=Tokenized Sparse-Attention GTs, Rewiring=TAS2026.06 | 81.02 | — | — | — | |
| Temp_only_v2backbone=GATv2, temperature=true2026.05 | 80.91 | — | — | — | |
| SimGCRatio (r)=2.60%2026.05 | 80.9 | — | — | — | |
| Gatedbackbone=GAT, gating=true2026.05 | 80.89 | — | — | — | |
| GCNbackbone=GCN2026.05 | 80.81 | — | — | — | |
| GATbackbone=GAT2026.05 | 80.81 | — | — | — |