Heterogeneous Node Classification On Acm
Métriques
Macro-F1
Micro-F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Macro-F1 | Micro-F1 |
|---|---|---|
| heterogeneous-graph-transformer | 91.12 | 91.00 |
| slotgat-slot-based-message-passing-for | 93.99 | 94.06 |
| efficient-heterogeneous-graph-learning-via | 94.09 | 94.04 |
| graph-attention-networks | - | 92.19 |
| simple-and-efficient-heterogeneous-graph | - | 93.87 |
| scalable-graph-neural-networks-for-1 | 93.36 | 93.31 |
| modeling-relational-data-with-graph | 91.55 | 91.41 |
| semi-supervised-classification-with-graph | 92.17 | 92.12 |
| an-attention-based-graph-neural-network-for | 90.02 | 89.91 |
| are-we-really-making-much-progress-revisiting | 93.42 | 93.35 |
| graph-transformer-networks-1 | 91.31 | 91.20 |