Heterogeneous Node Classification On Imdb
Metriken
Macro-F1
Micro-F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Macro-F1 | Micro-F1 |
|---|---|---|
| are-we-really-making-much-progress-revisiting | 63.53 | 67.36 |
| scalable-graph-neural-networks-for-1 | 63.51 | 66.18 |
| modeling-relational-data-with-graph | 58.85 | 62.05 |
| heterogeneous-graph-transformer | 63.00 | 67.20 |
| graph-transformer-networks-1 | 60.47 | 65.14 |
| simple-and-efficient-heterogeneous-graph | - | 68.21 |
| slotgat-slot-based-message-passing-for | 64.05 | 68.54 |
| an-attention-based-graph-neural-network-for | 49.47 | 57.68 |
| semi-supervised-classification-with-graph | 57.88 | 64.82 |
| graph-attention-networks | - | 64.86 |
| efficient-heterogeneous-graph-learning-via | 67.53 | 69.77 |