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
pykeen.datasets Package
Functions
Classes
Variables
dataset_resolver
Class Inheritance Diagram
pykeen.datasets.base Module
pykeen.datasets.source Module
pykeen.datasets.analysis Module
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
Datasets
dataset_resolver
View page source
dataset_resolver
dataset_resolver
:
ClassResolver
[
Dataset
]
=
<class_resolver.api.ClassResolver
object>
A resolver for datasets