| Paper | Code | Accuracy (%) | ModelName | ReleaseDate |
|---|---|---|---|---|
| Global Self-Attention as a Replacement for Graph Convolution | ✓ Link | 86.816 | EGT | 2021-08-07 |
| Directional Graph Networks | ✓ Link | 86.680 | DGN | 2020-10-06 |
| Factorizable Graph Convolutional Networks | ✓ Link | 86.57 ± 0.02 | FactorGCN | 2020-10-12 |
| Principal Neighbourhood Aggregation for Graph Nets | ✓ Link | 86.567 | PNA | 2020-04-12 |
| How Powerful are Graph Neural Networks? | ✓ Link | 85.590 | GIN | 2018-10-01 |
| Geometric deep learning on graphs and manifolds using mixture model CNNs | ✓ Link | 85.482 | MoNet | 2016-11-25 |
| Residual Gated Graph ConvNets | ✓ Link | 84.480 | GatedGCN | 2017-11-20 |
| Graph Attention Networks | ✓ Link | 75.824 | GAT | 2017-10-30 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 50.516 | GraphSage | 2017-06-07 |