pykeen/pykeen:

New Metrics

• Adjusted Arithmetic Mean Rank Index (https://github.com/pykeen/pykeen/pull/378)
• Add harmonic, geometric, and median rankings (https://github.com/pykeen/pykeen/pull/381)

• Console Tracker (https://github.com/pykeen/pykeen/pull/440)
• Tensorboard Tracker (https://github.com/pykeen/pykeen/pull/416; thanks @sbonner0)

• QuatE (https://github.com/pykeen/pykeen/pull/367)
• CompGCN (https://github.com/pykeen/pykeen/pull/382)
• CrossE (https://github.com/pykeen/pykeen/pull/467)
• Reimplementation of LiteralE with arbitrary combination (g) function (https://github.com/pykeen/pykeen/pull/245)

• Pseudo-typed Negative Sampler (https://github.com/pykeen/pykeen/pull/412)

• Removed invalid datasets (OpenBioLink filtered sets; https://github.com/pykeen/pykeen/pull/https://github.com/pykeen/pykeen/pull/439)
• Added WK3k-15K (https://github.com/pykeen/pykeen/pull/403)
• Added WK3l-120K (https://github.com/pykeen/pykeen/pull/403)
• Added CN3l (https://github.com/pykeen/pykeen/pull/403)

• Documentation on using PyKEEN in Google Colab and Kaggle (https://github.com/pykeen/pykeen/pull/379, thanks @jerryIsHere)
• Pass custom training loops to pipeline (https://github.com/pykeen/pykeen/pull/334)
• Compatibility later for the fft module (https://github.com/pykeen/pykeen/pull/288)
• Official Python 3.9 support, now that PyTorch has it (https://github.com/pykeen/pykeen/pull/223)
• Utilities for dataset analysis (https://github.com/pykeen/pykeen/pull/16, https://github.com/pykeen/pykeen/pull/392)
• Filtering of negative sampling now uses a bloom filter by default (https://github.com/pykeen/pykeen/pull/401)
• Optional embedding dropout (https://github.com/pykeen/pykeen/pull/422)
• Added more HPO suggestion methods and docs (https://github.com/pykeen/pykeen/pull/446)
• Training callbacks (https://github.com/pykeen/pykeen/pull/429)
• Class resolver for datasets (https://github.com/pykeen/pykeen/pull/473)

• R-GCN implementation now uses new-style models and is super idiomatic (https://github.com/pykeen/pykeen/pull/110)
• Enable passing of interaction function by string in base model class (https://github.com/pykeen/pykeen/pull/384, https://github.com/pykeen/pykeen/pull/387)
• Bump scipy requirement to 1.5.0+
• Updated interfaces of models and negative samplers to enforce kwargs (https://github.com/pykeen/pykeen/pull/445)
• Reorganize filtering, negative sampling, and remove triples factory from most objects (https://github.com/pykeen/pykeen/pull/400, https://github.com/pykeen/pykeen/pull/405, https://github.com/pykeen/pykeen/pull/406, https://github.com/pykeen/pykeen/pull/409, https://github.com/pykeen/pykeen/pull/420)
• Update automatic memory optimization (https://github.com/pykeen/pykeen/pull/404)
• Flexibly define positive triples for filtering (https://github.com/pykeen/pykeen/pull/398)
• Completely reimplemented negative sampling interface in training loops (https://github.com/pykeen/pykeen/pull/427)
• Completely reimplemented loss function in training loops (https://github.com/pykeen/pykeen/pull/448)
• Forward-compatibility of embeddings in old-style models and updated docs on how to use embeddings (https://github.com/pykeen/pykeen/pull/474)

• Regularizer passing in the pipeline and HPO (https://github.com/pykeen/pykeen/pull/345)
• Saving results when using multimodal models (https://github.com/pykeen/pykeen/pull/349)
• Add missing diagonal constraint on MuRE Model (https://github.com/pykeen/pykeen/pull/353)
• Fix early stopper handling (https://github.com/pykeen/pykeen/pull/419)
• Fixed saving results from pipeline (https://github.com/pykeen/pykeen/pull/428, thanks @kantholtz)
• Fix OOM issues with early stopper and AMO (https://github.com/pykeen/pykeen/pull/433)
• Fix ER-MLP functional form (https://github.com/pykeen/pykeen/pull/444)