Metric: Accuracy (%) (higher is better)
| # | Model↕ | Accuracy (%)▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | EGT | 86.816 | No | Global Self-Attention as a Replacement for Graph... | 2021-08-07 | Code |
| 2 | DGN | 86.68 | No | Directional Graph Networks | 2020-10-06 | Code |
| 3 | PNA | 86.567 | No | Principal Neighbourhood Aggregation for Graph Nets | 2020-04-12 | Code |
| 4 | GIN | 85.59 | No | How Powerful are Graph Neural Networks? | 2018-10-01 | Code |
| 5 | MoNet | 85.482 | No | Geometric deep learning on graphs and manifolds ... | 2016-11-25 | Code |
| 6 | GatedGCN | 84.48 | No | Residual Gated Graph ConvNets | 2017-11-20 | Code |
| 7 | GAT | 75.824 | No | Graph Attention Networks | 2017-10-30 | Code |
| 8 | GraphSage | 50.516 | No | Inductive Representation Learning on Large Graphs | 2017-06-07 | Code |