EvoLearner: Learning Description Logics with Evolutionary Algorithms. (arXiv:2111.04879v2 [cs.AI] UPDATED)

Classifying nodes in knowledge graphs is an important task, e.g., for
predicting missing types of entities, predicting which molecules cause cancer,
or predicting which drugs are promising treatment candidates. While black-box
models often achieve high predictive performance, they are only post-hoc and
locally explainable and do not allow the learned model to be easily enriched
with domain knowledge. Towards this end, learning description logic concepts
from positive and negative examples has been proposed. However, learning such
concepts often takes a …

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