Papers by Patrick Betz
LibKGE - A knowledge graph embedding library for reproducible research (2020.emnlp-demos)
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| Challenge: | Knowledge graph embedding models are trained to predict false triples and high scores for true triples. |
| Approach: | LibKGE is an open-source PyTorch-based library for training, hyperparameter optimization, and evaluation of knowledge graph embedding models for link prediction. |
| Outcome: | LibKGE provides implementations of common knowledge graph embedding models and training methods, and new ones can be easily added. |