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
PyTorch-BigGraph
Navigation
Contents:
Data model
From entity embeddings to edge scores
I/O format
Batch preparation
Distributed mode
Loss calculation
Evaluation
Dynamic relations
Featurized entities
Configuration
FAQ & Troubleshooting
Related works
Downstream tasks
Pre-trained embeddings
Related Topics
Documentation overview
Next:
Data model
Quick search