Node Classification On Mutag
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SCENE | 75.44 | SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks | |
| RR-GCN-PPV | 79.41 | R-GCN: The R Could Stand for Random | |
| RDF2Vec+SVM | 67.20 | RDF2Vec: RDF Graph Embeddings and Their Applications | |
| BoP | 91.17 | From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | |
| Path Tree | 73.82 | Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph | |
| R-GCN | 73.23 | Modeling Relational Data with Graph Convolutional Networks |
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