Node Classification on Amazon-ratings heterophilic (test)
54.81AccuracyPolynormer
Evaluation Results
| Method | Links | |
|---|---|---|
| Polynormer2026.04 | 54.81 | |
| NT*variant=GT-augmented NT2026.04 | 54.55 | |
| IM-CO-GNNparameters=μ, μ2025.05 | 54.43 | |
| NTvariant=vanilla2026.04 | 54.25 | |
| CO-GNNparameters=μ, μ2025.05 | 54.17 | |
| IM-GatedGCN2025.05 | 54.01 | |
| IM-GAT-sep2025.05 | 53.97 | |
| SAGE2025.05 | 53.63 | |
| Exphormer2025.05 | 53.51 | |
| Exphormer2026.04 | 53.51 | |
| IM-CO-GNNparameters=Σ, Σ2025.05 | 53.11 | |
| GPS2025.05 | 53.1 | |
| GraphGPS2026.04 | 53.1 | |
| IM-FAGCN2025.05 | 52.81 | |
| FSGNN2025.05 | 52.74 | |
| GAT-sep2025.05 | 52.7 | |
| IM-GCN2025.05 | 52.37 | |
| GT-sep2025.05 | 52.18 | |
| GATstruct_encoding=DEG2025.05 | 51.65 | |
| CO-GNNparameters=Σ, Σ2025.05 | 51.28 | |
| NAGphormer2025.05 | 51.26 | |
| NAGphormer2026.04 | 51.26 | |
| GT2025.05 | 51.17 | |
| IM-GAT2025.05 | 51.16 | |
| GPSbackbone=GAT, attention=Performer2025.05 | 51.03 | |
| GCNstruct_encoding=DEG2025.05 | 50.01 | |
| GPSbackbone=GAT, attention=Performer, pos_encoding=RWSE2025.05 | 49.92 | |
| GAT2025.05 | 49.09 | |
| GPSbackbone=GCN, attention=Performer, struct_encoding=DEG2025.05 | 48.93 | |
| GPSbackbone=GAT, attention=Performer, pos_encoding=LapPE2025.05 | 48.86 | |
| GCN2025.05 | 48.7 | |
| GATpos_encoding=RWSE2025.05 | 48.58 | |
| GPSbackbone=GCN, attention=Performer2025.05 | 48.2 | |
| GPSbackbone=GCN, attention=Performer, pos_encoding=RWSE2025.05 | 48.08 | |
| DIFFormer2026.04 | 47.84 | |
| GCNpos_encoding=RWSE2025.05 | 46.4 | |
| GBK-GNN2025.05 | 45.98 | |
| GATpos_encoding=LapPE2025.05 | 44.9 | |
| GPR-GNN2025.05 | 44.88 | |
| GOAT2025.05 | 44.61 | |
| GOAT2026.04 | 44.61 | |
| GCNpos_encoding=LapPE2025.05 | 44.35 | |
| FAGCN2025.05 | 44.12 | |
| NodeFormer2026.04 | 43.86 | |
| JacobiConv2025.05 | 43.55 | |
| Gated-GCN2025.05 | 43 | |
| CPGNN2025.05 | 39.79 | |
| GloGNN2025.05 | 36.89 | |
| H2GCN2025.05 | 36.47 |