SAFRAN - Scalable and fast non-redundant rule application

Introduced by Ott et al. in Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

SAFRAN is a rule application framework which aggregates rules through a scalable clustering algorithm.

Source: Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

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Paper	Code	Results	Date	Stars

This feature is experimental; we are continuously improving our matching algorithm.

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