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Node Classification On Bgs
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SCENE | 92.41 | SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks | |
| BoP | 90.34 | From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | |
| RDF2Vec+SVM | 87.24 | RDF2Vec: RDF Graph Embeddings and Their Applications | - |
| Path Tree | 86.90 | Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph | - |
| RR-GCN-PPV-CUT | 84.14 | R-GCN: The R Could Stand for Random | |
| R-GCN | 83.10 | Modeling Relational Data with Graph Convolutional Networks | |
| RR-GCN-PPV | 78.97 | R-GCN: The R Could Stand for Random |
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