Multi-label Node Classification on OGB-p node split (6:2:2)
74.82Macro AUCGCN+LIP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCN+LIPBackbone=GCN, Multi-label processing=LIP2026.07 | 74.82 | 5.72 | |
| GCN+AutoBackbone=GCN, Multi-label processing=Auto2026.07 | 71.39 | 2.11 | |
| VariMul2026.07 | 70.73 | 2.31 | |
| LANC2026.07 | 68.75 | 4.11 | |
| LARN2026.07 | 68.18 | 3.08 | |
| GCN+PLAINBackbone=GCN, Multi-label processing=PLAIN2026.07 | 66.29 | 3.26 | |
| ML-GCN2026.07 | 60.11 | 2.19 | |
| GCN+ML-KNNBackbone=GCN, Multi-label processing=ML-KNN2026.07 | 55.07 | 2.02 | |
| Node2vec+CCBackbone=Node2vec, Multi-label processing=CC2026.07 | 51.39 | 2.07 | |
| MLGW2026.07 | 50.7 | 1.78 | |
| Node2vec+BRBackbone=Node2vec, Multi-label processing=BR2026.07 | 50.22 | 1.92 |