Link Prediction On Pubmed
Metrics
AP
AUC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP | AUC |
|---|---|---|
| neural-link-prediction-with-walk-pooling-1 | 98.7% | 98.7% |
| rethinking-kernel-methods-for-node | 94.2% | 94.5% |
| hyperspherical-variational-auto-encoders | 96.0% | 96.0% |
| variational-graph-auto-encoders | - | - |
| multi-task-graph-autoencoders | - | - |
| variational-graph-normalized-auto-encoders | 97.6% | 97.6% |
| variational-graph-normalized-auto-encoders | 97.5% | 97.5% |
| graph-infoclust-leveraging-cluster-level-node | 93.5% | 93.7% |
| neural-bellman-ford-networks-a-general-graph | 98.2% | 98.3% |
| ness-learning-node-embeddings-from-static | 96.52% | 96.67% |
| adversarially-regularized-graph-autoencoder | 97.1% | 96.8% |
| neighborhood-enlargement-in-graph-neural | 96.3% | 94.8% |