pykeen
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Getting Started
Installation
First Steps
Knowledge Graph Embedding Models
Tracking Results during Training
Saving Checkpoints during Training
A Toy Example with Translational Distance Models
Understanding the Evaluation
Optimizing a Model’s Hyper-parameters
Running an Ablation Study
Performance Tricks
Representations
Getting Started with NodePiece
Inductive Link Prediction
PyTorch Lightning Integration
Using Resolvers
Troubleshooting
Bring Your Own
Bring Your Own Data
Bring Your Own Interaction
Extending PyKEEN
Extending the Datasets
Extending the Models
Reference
Pipeline
Models
Datasets
Inductive Datasets
Entity Alignment
Triples
Training
Stoppers
Loss Functions
Regularizers
Result Trackers
Negative Sampling
Filtering
Evaluation
Metrics
Hyper-parameter Optimization
Ablation
Lookup
Prediction
Uncertainty
Sealant
Constants
pykeen.nn
Utilities
Appendix
Analysis
Dataset Degree Distributions
References
pykeen
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Analysis
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Analysis
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Analysis
Dataset Degree Distributions
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