Node Classification On Bgs
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Path Tree | 86.90 | Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph | |
| R-GCN | 83.10 | Modeling Relational Data with Graph Convolutional Networks | |
| RDF2Vec+SVM | 87.24 | RDF2Vec: RDF Graph Embeddings and Their Applications | |
| BoP | 90.34 | From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | |
| SCENE | 92.41 | SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks | |
| RR-GCN-PPV-CUT | 84.14 | R-GCN: The R Could Stand for Random | |
| RR-GCN-PPV | 78.97 | R-GCN: The R Could Stand for Random |
0 of 7 row(s) selected.