| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| DropEdge: Towards Deep Graph Convolutional Networks on Node Classification | ✓ Link | 91.70% | GraphSAGE+DropEdge | 2019-07-25 |
| Adaptive Sampling Towards Fast Graph Representation Learning | ✓ Link | 90.6% | ASGCN | 2018-09-14 |
| FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping | ✓ Link | 90.3524% | FDGATII | 2021-10-21 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 90.30% | GCNII* | 2020-07-04 |
| Beyond Homophily with Graph Echo State Networks | 89.2±0.3 | Graph ESN | 2022-10-27 | |
| FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling | ✓ Link | 88.00% | FastGCN | 2018-01-30 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 87.1% | GraphSAGE | 2017-06-07 |