Pykeen Versions Save

๐Ÿค– A Python library for learning and evaluating knowledge graph embeddings

v1.10.2

2 months ago

What's Changed

New Contributors

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.10.1...v1.10.2

v1.10.1

1 year ago

What's Changed

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.10.0...v1.10.1

v1.10.0

1 year ago

The PyKEEN 1.10 release contains a huge variety of bug fixes, performance improvements, and new features. A few highlights include symmetric sLCWA training loop, evaluation with OGB, biomedical entity representation modules, low-rank representation approximation, and many improvements to the prediction pipeline.

Models and Layers

NodePiece

Documentation

Performance

Pipeline and Prediction

Representation

Training and Negative Sampling

Loss

Metrics and Evaluation

Lightning

Misc

New Contributors

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.9.0...v1.10.0

v1.9.0

1 year ago

The theme of this release of PyKEEN is centered on new and exciting representations to bring more kinds of data (text, image, scalar data) into training in an elegant way. Several of these contribute to new functionality for NodePiece.

Training and Evaluation

Datasets

Models

New

Updates

Representations

NodePiece

Documentation

Loss

Predictions

Meta

Misc

New Contributors

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.8.2...v1.9.0

v1.8.2

1 year ago

Datasets

Lightning

Losses

Representations

Other great stuff that isn't the previous commit (it's after 5PM)

New Contributors

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.8.1...v1.8.2

v1.8.1

2 years ago

PyKEEN 1.8.1 contains a few critical bug fixes along with some other cool updates.

Evaluation

Inductive Models

Transductive Models

New Datasets

Documentation

Bug Fixes

Misc

New Contributors

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.8.0...v1.8.1

v1.8.0

2 years ago

Among a ton of updates since the beginning of the year, PyKEEN v1.8.0 has three major themes:

  1. The introduction of the inductive link prediction pipeline and the NodePiece model. We highly suggest checking out An Open Challenge for Inductive Link Prediction on Knowledge Graphs to go along with this new pipeline and models.
  2. The introduction of new rank-based evaluation metrics to go along with A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
  3. Major internal refactoring of negative sampling to better use PyTorch's data loaders and support multi-CPU generation (special thanks to @Koenkalle for help testing this)

Models

New

Updated

Training and Evaluation

Callbacks

Data and Datasets

New

Updates

Metrics

Prediction

Representations

Trackers

Fixes

Documentation, Typing, and Packaging

Misc

Full Changelog: https://github.com/pykeen/pykeen/compare/v1.7.0...v1.8.0

v1.7.0

2 years ago

New Models

Updated Models

Representations and Initialization

Training

Inference

Trackers

Evaluation

Triples and Datasets

Torch Usage

Miscellaneous

Housekeeping

v1.6.0

2 years ago

This release is only compatible with PyTorch 1.9+. Because of some changes, it's now pretty non-trivial to support both, so moving forwards PyKEEN will continue to support the latest version of PyTorch and try its best to keep backwards compatibility.

New Models

New Datasets

New Losses

Added

Changed

Fixed

v1.5.0

2 years ago

New Metrics

New Trackers

New Models

New Negative Samplers

Datasets

Added

Updated

Fixed