Node Classification On Blogcatalog 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| DEMO-Net(weight) | 84.9 | DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification | - |
| ISNE | 87.3 | Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding | |
| GraphGAN | 23.20 | GraphGAN: Graph Representation Learning with Generative Adversarial Nets | - |
| GCN+GAugM | 77.6 | Data Augmentation for Graph Neural Networks | - |
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