Node Classification on Roman-empire heterophilic (test)
94.77AccuracyNT
Evaluation Results
| Method | Links | |
|---|---|---|
| NTvariant=vanilla2026.04 | 94.77 | |
| NT*variant=GT-augmented NT2026.04 | 92.9 | |
| Polynormer2026.04 | 92.55 | |
| IM-CO-GNNparameters=Σ, Σ2025.05 | 92.08 | |
| IM-CO-GNNparameters=μ, μ2025.05 | 92 | |
| CO-GNNparameters=Σ, Σ2025.05 | 91.57 | |
| CO-GNNparameters=μ, μ2025.05 | 91.37 | |
| IM-GatedGCN2025.05 | 90.82 | |
| IM-GAT-sep2025.05 | 89.93 | |
| Exphormer2025.05 | 89.03 | |
| Exphormer2026.04 | 89.03 | |
| GAT-sep2025.05 | 88.75 | |
| GT-sep2025.05 | 87.32 | |
| GPSbackbone=GAT, attention=Performer, pos_encoding=RWSE2025.05 | 87.04 | |
| GATpos_encoding=RWSE2025.05 | 86.62 | |
| GT2025.05 | 86.51 | |
| IM-FAGCN2025.05 | 86.26 | |
| GPSbackbone=GAT, attention=Performer, pos_encoding=LapPE2025.05 | 85.93 | |
| SAGE2025.05 | 85.74 | |
| GPSbackbone=GAT, attention=Performer2025.05 | 85.54 | |
| GATstruct_encoding=DEG2025.05 | 85.51 | |
| GCNpos_encoding=RWSE2025.05 | 84.84 | |
| GATpos_encoding=LapPE2025.05 | 84.8 | |
| GPSbackbone=GCN, attention=Performer, pos_encoding=RWSE2025.05 | 84.72 | |
| IM-GAT2025.05 | 84.48 | |
| GCNstruct_encoding=DEG2025.05 | 84.21 | |
| GPSbackbone=GCN, attention=Performer2025.05 | 83.96 | |
| IM-GCN2025.05 | 83.53 | |
| GPSbackbone=GCN, attention=Performer, struct_encoding=DEG2025.05 | 83.38 | |
| GCNpos_encoding=LapPE2025.05 | 83.37 | |
| GPS2025.05 | 82 | |
| GraphGPS2026.04 | 82 | |
| GAT2025.05 | 80.87 | |
| FSGNN2025.05 | 79.92 | |
| DIFFormer2026.04 | 79.1 | |
| GBK-GNN2025.05 | 74.57 | |
| Gated-GCN2025.05 | 74.46 | |
| NAGphormer2025.05 | 74.34 | |
| NAGphormer2026.04 | 74.34 | |
| GCN2025.05 | 73.69 | |
| GOAT2025.05 | 71.59 | |
| GOAT2026.04 | 71.59 | |
| JacobiConv2025.05 | 71.14 | |
| FAGCN2025.05 | 65.22 | |
| GPR-GNN2025.05 | 64.85 | |
| NodeFormer2026.04 | 64.49 | |
| CPGNN2025.05 | 63.96 | |
| H2GCN2025.05 | 60.11 | |
| GloGNN2025.05 | 59.63 |