Graph Classification On Hiv Dataset
평가 지표
ROC-AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | ROC-AUC | Paper Title | Repository |
|---|---|---|---|
| CIN++ | 80.63 | CIN++: Enhancing Topological Message Passing | - |
| TREE-G | - | TREE-G: Decision Trees Contesting Graph Neural Networks | - |
| GMT | 77.56 | Accurate Learning of Graph Representations with Graph Multiset Pooling | - |
| GAM | - | Graph Classification using Structural Attention | |
| CIN++-small | 80.26 | CIN++: Enhancing Topological Message Passing | - |
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