Graph Embeddings
RESCAL with Relation Prediction
Introduced by Chen et al. in Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsRESCAL model trained with a relation prediction objective on top of the 1vsAll loss
Source: Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Graph Representation Learning | 1 | 12.50% |
| Knowledge Base Completion | 1 | 12.50% |
| Knowledge Graph Completion | 1 | 12.50% |
| Knowledge Graph Embedding | 1 | 12.50% |
| Knowledge Graph Embeddings | 1 | 12.50% |
| Link Prediction | 1 | 12.50% |
| Link Property Prediction | 1 | 12.50% |
| Relational Reasoning | 1 | 12.50% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
