PyKEEN's repositories
benchmarking
π Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)
ranking-metrics-manuscript
π Results for the Ranking Metrics submission @ GLB 2022
kgem-software-review
π A review of KGEM packages and frameworks at https://pykeen.github.io/kgem-software-review.
kgem-meta-review
π Knowledge graph embedding model meta-review at https://pykeen.github.io/kgem-meta-review/
asv-benchmark
PyKEEN benchmarks with airspeed velocity served at https://pykeen.github.io/asv-benchmark/
bloom-filterer-benchmark
πͺ Benchmark the bloom filterer at https://pykeen.github.io/bloom-filterer-benchmark/
collation-benchmark
πͺ Benchmark collation of negative samples inside the DataLoader
ecosystem-ci
Automate issue discovery for your projects against Lightning nightly and releases.
negative-sampler-benchmark
πͺ Benchmark negative samplers' false negative rate
pykeen.github.io
π The website for PyKEEN and the KEEN universe at https://pykeen.github.io
benchmark-sparse-diagonal
πͺ Benchmark extraction of diagonal entries of a sparse matrix
nonparametric-baseline-benchmark
πͺ Benchmark non-parametric KGE models