Heterogeneous Node Classification On Oag L1
Metriken
MRR
NDCG
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | |||
|---|---|---|---|
| RpHGNN | 86.79 | 87.80 | Efficient Heterogeneous Graph Learning via Random Projection |
| NARS | 85.15 | 86.06 | Scalable Graph Neural Networks for Heterogeneous Graphs |
| SeHGNN | 84.95 | 86.01 | Simple and Efficient Heterogeneous Graph Neural Network |
| RGCN | 84.92 | 85.91 | Modeling Relational Data with Graph Convolutional Networks |
| HGT | 82.16 | 84.13 | Heterogeneous Graph Transformer |
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