Graph Classification On Hiv Dataset
Metriken
ROC-AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 | - |
0 of 5 row(s) selected.