Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | CRaWl | 93.15 | No | Walking Out of the Weisfeiler Leman Hierarchy: G... | 2021-02-17 | Code |
| 2 | GAT-GC (f-Scaled) | 92.57 | No | Improving Attention Mechanism in Graph Neural Ne... | 2019-07-04 | Code |
| 3 | GIN-0 | 92.4 | No | How Powerful are Graph Neural Networks? | 2018-10-01 | Code |
| 4 | DiffPool | 92.1 | No | Fast Graph Representation Learning with PyTorch ... | 2019-03-06 | Code |
| 5 | WEGL | 92 | No | Wasserstein Embedding for Graph Learning | 2020-06-16 | Code |
| 6 | 2-WL-GNN | 89.4 | No | A Novel Higher-order Weisfeiler-Lehman Graph Con... | 2020-07-01 | Code |
| 7 | δ-2-LWL | 89 | No | Weisfeiler and Leman go sparse: Towards scalable... | 2019-04-02 | Code |
| 8 | NDP | 84.3 | No | Hierarchical Representation Learning in Graph Ne... | 2019-10-24 | Code |
| 9 | GraphSAGE | 84.3 | No | A Fair Comparison of Graph Neural Networks for G... | 2019-12-20 | Code |
| 10 | ApproxRepSet | 80.3 | No | Rep the Set: Neural Networks for Learning Set Re... | 2019-04-03 | Code |
| 11 | Graph-JEPA | 56.73 | No | Graph-level Representation Learning with Joint-E... | 2023-09-27 | Code |