Multi-Label Node Classification on Delve-M (6:2:2)
58.87Macro F1GCN+LIP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCN+LIPBackbone=GCN2026.07 | 58.87 | 90.89 | |
| GCN+ComBackbone=GCN2026.07 | 56.82 | 88.74 | |
| VariMul2026.07 | 56.81 | 86.91 | |
| LANC2026.07 | 55.14 | 86.48 | |
| GCN+AutoBackbone=GCN2026.07 | 54.71 | 79.08 | |
| LARN2026.07 | 54.31 | 85.85 | |
| GCN+PLAINBackbone=GCN2026.07 | 53.61 | 78.72 | |
| MLGW2026.07 | 52.25 | 74.15 | |
| GCN+ML-KNNBackbone=GCN2026.07 | 51.98 | 69.45 | |
| ML-GCN2026.07 | 51.92 | 83.21 | |
| Node2vec+CCBackbone=Node2vec2026.07 | 50.66 | 65.47 | |
| Node2vec+BRBackbone=Node2vec2026.07 | 50.34 | 64.03 |