| Paper | Code | Macro-F1 | Micro-F1 | Macro-F1 | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Efficient Heterogeneous Graph Learning via Random Projection | ✓ Link | 54.02 | 66.55 | RpHGNN | 2023-10-23 | ||
| Scalable Graph Neural Networks for Heterogeneous Graphs | ✓ Link | 49.98 | 63.26 | NARS | 2020-11-19 | ||
| SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network | ✓ Link | 49.68 | 66.83 | SlotGAT | 2024-05-03 | ||
| Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks | ✓ Link | 47.72 | 66.29 | Simple-HGN | 2021-12-30 | ||
| Modeling Relational Data with Graph Convolutional Networks | ✓ Link | 46.78 | 58.33 | RGCN | 2017-03-17 | ||
| Heterogeneous Graph Transformer | ✓ Link | 29.28 | 60.51 | HGT | 2020-03-03 | ||
| Semi-Supervised Classification with Graph Convolutional Networks | ✓ Link | 27.84 | 60.23 | GCN | 2016-09-09 | ||
| Simple and Efficient Heterogeneous Graph Neural Network | ✓ Link | 63.41 | 50.71 | SeHGNN | 2022-07-06 | ||
| Graph Attention Networks | ✓ Link | 40.74 | 65.26 | GAT | 2017-10-30 |