Entity Classification on BGS (test)
87.24AccuracyRDF2Vec
Evaluation results
| Method | Links | |
|---|---|---|
| RDF2Vecdescription=Skipgram-based entity embeddings2017.03 | 87.24 | |
| WLdescription=Weisfeiler-Lehman kernels2017.03 | 86.2 | |
| AutoBLM+2021.07 | 86.17 | |
| AutoBLM2021.07 | 84.83 | |
| CompGCN2021.07 | 84.14 | |
| R-GCNlayers=2, hidden units=16, decomposition=basis function, optimizer=Adam, epochs=50, learning rate=0.012017.03 | 83.1 | |
| R-GCN2021.07 | 82.97 | |
| GCN2021.07 | 73.79 | |
| Featdescription=hand-designed feature extractor (in- and out-degree per relation)2017.03 | 72.41 |