PyKEEN

PyKEEN's repositories

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

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ilpc2022

🏅 KG Inductive Link Prediction Challenge (ILPC) 2022

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📊 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)

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ranking-metrics-manuscript

📐 Results for the Ranking Metrics submission @ GLB 2022

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kgem-software-review

📖 A review of KGEM packages and frameworks at https://pykeen.github.io/kgem-software-review.

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kgem-meta-review

📖 Knowledge graph embedding model meta-review at https://pykeen.github.io/kgem-meta-review/

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asv-benchmark

PyKEEN benchmarks with airspeed velocity served at https://pykeen.github.io/asv-benchmark/

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bloom-filterer-benchmark

🪑 Benchmark the bloom filterer at https://pykeen.github.io/bloom-filterer-benchmark/

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collation-benchmark

🪑 Benchmark collation of negative samples inside the DataLoader

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ecosystem-ci

Automate issue discovery for your projects against Lightning nightly and releases.

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negative-sampler-benchmark

🪑 Benchmark negative samplers' false negative rate

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pykeen.github.io

🌐 The website for PyKEEN and the KEEN universe at https://pykeen.github.io

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benchmark-sparse-diagonal

🪑 Benchmark extraction of diagonal entries of a sparse matrix

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nonparametric-baseline-benchmark

🪑 Benchmark non-parametric KGE models

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