Graph Classification 벤치마크
Graph Classification on AIDS
Accuracy
- 2017-12-10 — DGCNN: Accuracy 65.1
- 2024-10-19 — FIT-GNN: Accuracy 84.3
| Rank | Model | Accuracy | Inference Time (ms) | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | FIT-GNN | 84.3 | 0.00155 | FIT-GNN: Faster Inference Time for GNNs Using Coarsening | Roy-Shubhajit/FIT-GNN | 2024 |
| 2 | DGCNN | 65.1 | – | DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model | 2017 | |
| 3 | FIT-GNN | 84.3 | 0.00155 | FIT-GNN: Faster Inference Time for GNNs Using Coarsening | Roy-Shubhajit/FIT-GNN | 2024 |
| 4 | DGCNN | 65.1 | – | DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model | 2017 |