Multi-Label Node Classification on DBLP (6:2:2)
86.5Macro F1 ScoreGCN+LIP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GCN+LIPBackbone=GCN2026.07 | 86.5 | 93.91 | |
| GCN+ComBackbone=GCN2026.07 | 86 | 94 | |
| GCN+AutoBackbone=GCN2026.07 | 85.43 | 93.47 | |
| VariMul2026.07 | 84.81 | 93.17 | |
| LARN2026.07 | 83.86 | 92.77 | |
| GCN+PLAINBackbone=GCN2026.07 | 82.27 | 91.28 | |
| LANC2026.07 | 80.37 | 89.58 | |
| MLGW2026.07 | 79.13 | 90.14 | |
| ML-GCN2026.07 | 78.64 | 89.3 | |
| GCN+ML-KNNBackbone=GCN2026.07 | 77.64 | 86.62 | |
| Node2vec+BRBackbone=Node2vec2026.07 | 75.92 | 83.78 | |
| Node2vec+CCBackbone=Node2vec2026.07 | 73.61 | 80.34 |