| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | ✓ Link | 92.41 | BoP | 2024-11-17 |
| R-GCN: The R Could Stand for Random | ✓ Link | 91.31 | RR-GCN-PPV-CUT (Unimportant relations removed) | 2022-03-04 |
| SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks | ✓ Link | 90.05 | SCENE | 2023-01-09 |
| Modeling Relational Data with Graph Convolutional Networks | ✓ Link | 89.29 | R-GCN | 2017-03-17 |
| RDF2Vec: RDF Graph Embeddings and Their Applications | ✓ Link | 88.33 | RDF2Vec+SVM | 2017-11-10 |
| Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph | ✓ Link | 86.77 | Path Tree | 2019-08-22 |
| R-GCN: The R Could Stand for Random | ✓ Link | 84.8 | RR-GCN-PPV-CUT | 2022-03-04 |
| R-GCN: The R Could Stand for Random | ✓ Link | 84.65 | RR-GCN-PPV | 2022-03-04 |