| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification | ✓ Link | 49.75% | GFN-light | 2019-05-11 |
| Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification | ✓ Link | 49.43% | GFN | 2019-05-11 |
| Graph Classification with 2D Convolutional Neural Networks | 48.13% | 2D CNN | 2017-07-29 | |
| Wasserstein Embedding for Graph Learning | ✓ Link | 47.8% | WEGL | 2020-06-16 |
| Capsule Graph Neural Network | ✓ Link | 46.62% | CapsGNN | 2019-05-01 |
| Deep Graph Kernels | 32.22% | DGK | 2015-08-10 |