Graph Classification 벤치마크
Graph Classification on BBBP
ROC-AUC
- 2021-02-23 — GMT: ROC-AUC 68.31
- 2022-03-20 — GTOT-Tuning: ROC-AUC 70.0
- 2023-12-21 — G-Tuning: ROC-AUC 72.59
| Rank | Model | ROC-AUC | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | G-Tuning | 72.59 | Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns | zjunet/G-Tuning | 2023 |
| 2 | GTOT-Tuning | 70 | Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport | youjibiying/gtot-tuning | 2022 |
| 3 | GMT | 68.31 | Accurate Learning of Graph Representations with Graph Multiset Pooling | JinheonBaek/GMT | 2021 |
| 4 | G-Tuning | 72.59 | Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns | zjunet/G-Tuning | 2023 |
| 5 | GTOT-Tuning | 70 | Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport | youjibiying/gtot-tuning | 2022 |
| 6 | GMT | 68.31 | Accurate Learning of Graph Representations with Graph Multiset Pooling | JinheonBaek/GMT | 2021 |