Node Classification on Roman-empire v1 (test)
92.08AccuracyIM-CO-GNN
Evaluation Results
| Method | Links | |
|---|---|---|
| IM-CO-GNNAggregation=(Σ, Σ)2025.05 | 92.08 | |
| IM-CO-GNNAggregation=(μ, μ)2025.05 | 92 | |
| CO-GNNAggregation=(Σ, Σ)2025.05 | 91.57 | |
| CO-GNNAggregation=(μ, μ)2025.05 | 91.37 | |
| IM-GatedGCN2025.05 | 90.82 | |
| IM-GAT-sepseparated=true2025.05 | 89.93 | |
| Exphormer2025.05 | 89.03 | |
| GAT-sepseparated=true2025.05 | 88.75 | |
| GTseparated=true2025.05 | 87.32 | |
| GPS_GAT+PerformerPositional Encoding=RWSE2025.05 | 87.04 | |
| GPS_GCN+PerformerPositional Encoding=RWSE2025.05 | 84.72 | |
| IM-GAT2025.05 | 84.48 | |
| IM-GCN2025.05 | 83.53 | |
| GAT2025.05 | 80.87 | |
| FSGNN2025.05 | 79.92 | |
| GBK-GNN2025.05 | 74.57 | |
| Gated-GCN2025.05 | 74.46 | |
| GCN2025.05 | 73.69 | |
| GOAT2025.05 | 71.59 | |
| JacobiConv2025.05 | 71.14 |