| Data Augmentation for Graph Neural Networks | ✓ Link | 0.682 | GCN+GAugM (Zhao et al., 2021) | 2020-06-11 |
| DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification | ✓ Link | 0.656 ± 0.000 | DEMO-Net(weight) | 2019-06-05 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 0.641 | GraphSAGE (Hamilton et al., [2017a]) | 2017-06-07 |
| A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking | ✓ Link | 0.562 | EnGCN (Duan et al., 2022) | 2022-10-14 |
| Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning | ✓ Link | 0.557 | Intersection (Li et al., 2018) | 2018-01-22 |
| Semi-Supervised Classification with Graph Convolutional Networks | ✓ Link | 0.546 | GCN (Kipf and Welling, 2017) | 2016-09-09 |
| Semi-Supervised Classification with Graph Convolutional Networks | ✓ Link | 0.479 | GCN_cheby (Kipf and Welling, 2017) | 2016-09-09 |
| Graph Attention Networks | ✓ Link | 0.359 | GAT (Velickovic et al., 2018) | 2017-10-30 |