Graph Representation Learning
Graph Contrastive learning with Adaptive augmentation
Introduced by Zhu et al. in Graph Contrastive Learning with Adaptive AugmentationPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Node Classification | 2 | 13.33% |
| Object Detection | 2 | 13.33% |
| Benchmarking | 1 | 6.67% |
| Dialogue State Tracking | 1 | 6.67% |
| Adversarial Robustness | 1 | 6.67% |
| Graph Classification | 1 | 6.67% |
| Decoder | 1 | 6.67% |
| Image Restoration | 1 | 6.67% |
| Semantic Segmentation | 1 | 6.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
