Node Classification On Dblp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
0 of 5 row(s) selected.