Welcome to PyTorch-BigGraph’s documentation!

Contents:

• Data model
• From entity embeddings to edge scores
  • Embeddings
  • Global embeddings
  • Operators
  • Comparators
  • Bias
  • Coherent sets of configuration parameters
  • Interpreting the scores
• I/O format
  • Entity and relation types
  • Entities
  • Edges
  • Checkpoint
• Batch preparation
• Distributed mode
  • Setup
  • Communication protocols
• Loss calculation
  • Negative sampling
  • Loss functions
  • Optimizers
• Evaluation
  • Offline evaluation
  • Evaluation during training
• Dynamic relations
• Featurized entities
• Configuration
  • Schema
• FAQ & Troubleshooting
  • Frequently Asked Questions
  • Common issues
• Related works
  • TransE
  • RESCAL
  • DistMult
  • ComplEx
  • Reciprocal Relations
• Downstream tasks
  • Parsing the output data
  • Using the embeddings
• Pre-trained embeddings
  • Wikidata

Indices and tables

• Index
• Module Index
• Search Page

Legal

• Terms of Use
• Privacy Policy