| Paper | Code | Accuracy (% ) | ModelName | ReleaseDate |
|---|---|---|---|---|
| Polynormer: Polynomial-Expressive Graph Transformer in Linear Time | ✓ Link | 92.55±0.37 | Polynormer | 2024-03-02 |
| HyperAggregation: Aggregating over Graph Edges with Hypernetworks | ✓ Link | 92.27±0.57 | GraphHyperConv | 2024-07-16 |
| HoloNets: Spectral Convolutions do extend to Directed Graphs | ✓ Link | 92.24±0.43 | FaberNet | 2023-10-03 |
| Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | ✓ Link | 91.27±0.20 | GCN | 2024-06-13 |
| Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | ✓ Link | 87.29±0.60 | GNNMoE(GAT-like P) | 2024-12-11 |
| Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | ✓ Link | 86.00±0.45 | GNNMoE(SAGE-like P) | 2024-12-11 |
| Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | ✓ Link | 85.05±0.55 | GNNMoE(GCN-like P) | 2024-12-11 |