Graph Classification On Mutagenicity
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| HGP-SL | 82.15 | Hierarchical Graph Pooling with Structure Learning | - |
| TREE-G | 83 | TREE-G: Decision Trees Contesting Graph Neural Networks | - |
| NDP | 78.1 | Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling | - |
| S-CGIB | 81.12±0.90 | Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck | |
| MEWISPool | 80.66 | Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks | - |
0 of 5 row(s) selected.