pykeen
Getting Started
Installation
First Steps
Knowledge Graph Embedding Models
Representations
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
Getting Started with NodePiece
Inductive Link Prediction
Splitting
PyTorch Lightning Integration
Using Resolvers
Normalizer, Constrainer & Regularizer
Troubleshooting
Bring Your Own
Bring Your Own Data
Bring Your Own Interaction
Extending PyKEEN
Extending the Datasets
Extending the Models
Reference
Pipeline
Models
Datasets
pykeen.datasets Package
Functions
Classes
Variables
dataset_resolver
Class Inheritance Diagram
pykeen.datasets.base Module
pykeen.datasets.analysis Module
Inductive Datasets
Entity Alignment
Triples
Triples Workflows
Training
Stoppers
Loss Functions
Regularizers
Result Trackers
Negative Sampling
Filtering
Optimizers
Evaluation
Metrics
Hyper-parameter Optimization
Ablation
Prediction
Uncertainty
Sealant
Constants
Flexible Weight Checkpoints
pykeen.nn
Utilities
Appendix
Analysis
References
pykeen
Datasets
dataset_resolver
View page source
dataset_resolver
dataset_resolver
:
ClassResolver
[
Dataset
]
=
<class_resolver.api.ClassResolver
object>
A resolver for datasets