Graph Embeddings
Wasserstein Embedding for Graph Learning
Introduced by Kolouri et al. in Wasserstein Embedding for Graph LearningPlease enter a description here
Source: Wasserstein Embedding for Graph Learning
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Computational Efficiency | 1 | 16.67% |
| Graph Classification | 1 | 16.67% |
| Graph Embedding | 1 | 16.67% |
| Graph Learning | 1 | 16.67% |
| Graph Property Prediction | 1 | 16.67% |
| Property Prediction | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
