Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | GCN+GAugM (Zhao et al., 2021) | 0.682 | No | Data Augmentation for Graph Neural Networks | 2020-06-11 | Code |
| 2 | GraphSAGE (Hamilton et al., [2017a]) | 0.641 | No | Inductive Representation Learning on Large Graphs | 2017-06-07 | Code |
| 3 | EnGCN (Duan et al., 2022) | 0.562 | No | A Comprehensive Study on Large-Scale Graph Train... | 2022-10-14 | Code |
| 4 | Intersection (Li et al., 2018) | 0.557 | No | Deeper Insights into Graph Convolutional Network... | 2018-01-22 | Code |
| 5 | GCN (Kipf and Welling, 2017) | 0.546 | No | Semi-Supervised Classification with Graph Convol... | 2016-09-09 | Code |
| 6 | GCN_cheby (Kipf and Welling, 2017) | 0.479 | No | Semi-Supervised Classification with Graph Convol... | 2016-09-09 | Code |
| 7 | GAT (Velickovic et al., 2018) | 0.359 | No | Graph Attention Networks | 2017-10-30 | Code |