pykeen

Tutorials

Installation
First Steps
A Toy Example with Translational Distance Models
Inductive Link Prediction

How-to Guides

Bring Your Own Data
Bring Your Own Interaction
Extending the Datasets
Extending the Models
Splitting
Getting Started with NodePiece
Using Resolvers
Saving Checkpoints during Training
Optimizing a Model’s Hyper-parameters
Running an Ablation Study
Tracking Results during Training
Troubleshooting

Explanation

Knowledge Graph Embedding Models
Interaction Functions
Representations
Normalizer, Constrainer & Regularizer
Understanding the Evaluation
Performance Tricks
Dataset Degree Distributions

Reference

Pipeline
Models
Datasets
Inductive Datasets
Entity Alignment
Triples
Triples Workflows
Inverse Relations
Training
Stoppers
Loss Functions
Loss Weighting
Regularizers
Result Trackers
Negative Sampling
Filtering
Optimizers
Evaluation
Metrics
Hyper-parameter Optimization
Ablation
Prediction
Uncertainty
Sealant
Constants
Flexible Weight Checkpoints
pykeen.nn
PyTorch Lightning Integration
Utilities

Appendix

References

pykeen

Models
model_resolver
View page source

model_resolver

model_resolver: ClassResolver[Model] = <class_resolver.api.ClassResolver object>: A resolver for knowledge graph embedding models

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