Node Classification On Dblp
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| R-GCN | 68.51 | R-GCN: The R Could Stand for Random | |
| RR-GCN-PPV | 70.61 | R-GCN: The R Could Stand for Random | |
| GRACE | 84.2 ± 0.1 | Deep Graph Contrastive Representation Learning | |
| PairE | - | Graph Representation Learning Beyond Node and Homophily | |
| DAOR | - | Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection |
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