Graph Classification 벤치마크
Graph Classification on Pubmed
Test Accuracy
- 2021-06-24 — Fea2Fea-s3: Test Accuracy 78.5
| Rank | Model | Test Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | Fea2Fea-s3 | 78.5 | Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks | JIAQING-XIE/Fea2Fea | 2021 |
| 1 | Fea2Fea-s3 | 78.5 | Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks | JIAQING-XIE/Fea2Fea | 2021 |
| 3 | Wasserstein-Rubinstein 자동 추출 | 74.4 | Graph Attention Specialized Expert Fusion Model for Node Classification: Based on Cora and Pubmed Datasets | 2025 |