| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| DropEdge: Towards Deep Graph Convolutional Networks on Node Classification | ✓ Link | 80.50% | IncepGCN+DropEdge | 2019-07-25 |
| Adaptive Sampling Towards Fast Graph Representation Learning | ✓ Link | 79.66% | ASGCN | 2018-09-14 |
| FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling | ✓ Link | 77.60% | FastGCN | 2018-01-30 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 77.13% | GCNII* | 2020-07-04 |
| FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping | ✓ Link | 75.6434% | FDGATII | 2021-10-21 |
| Beyond Homophily with Graph Echo State Networks | 74.5±2.1 | Graph ESN | 2022-10-27 | |
| Inductive Representation Learning on Large Graphs | ✓ Link | 71.40% | GraphSAGE | 2017-06-07 |