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Graph Classification On Hiv
Metrics
ROC-AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| GTOT-Tuning | 78.2 | Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport | |
| GMT | 77.56 | Accurate Learning of Graph Representations with Graph Multiset Pooling | |
| G-Tuning | 77.33 | Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns |
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