Multi-Label Node Classification on Abnomal (6:2:2)
53.98Macro F1GCN+LIP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCN+LIPBackbone=GCN2026.07 | 53.98 | 94.91 | |
| GCN+AutoBackbone=GCN2026.07 | 52.35 | 90.31 | |
| VariMul2026.07 | 52.32 | 88.56 | |
| GCN+PLAINBackbone=GCN2026.07 | 52.16 | 93.23 | |
| LARN2026.07 | 51.34 | 88.61 | |
| ML-GCN2026.07 | 51.27 | 86.61 | |
| GCN+ComBackbone=GCN2026.07 | 50.86 | 87.08 | |
| LANC2026.07 | 50.23 | 84.02 | |
| MLGW2026.07 | 49.12 | 82.14 | |
| GCN+ML-KNNBackbone=GCN2026.07 | 47.22 | 80.28 | |
| Node2vec+CCBackbone=Node2vec2026.07 | 45.12 | 79.28 | |
| Node2vec+BRBackbone=Node2vec2026.07 | 43.55 | 76.59 |