Node Classification On Dblp
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| r-gcn-the-r-could-stand-for-random | 68.51 |
| r-gcn-the-r-could-stand-for-random | 70.61 |
| deep-graph-contrastive-representation | 84.2 ± 0.1 |
| graph-representation-learning-beyond-node-and | - |
| bridging-the-gap-between-community-and-node | - |