Node Classification On Dblp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | 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 | - |