RLvLR
RLvLR (Rule Learning via Learning Representation) is a scalable method for
learning first order rules in Knowledge Graphs (KGs). RLvLR is capable of handling
very large KGs such as Freebase, YAGO, DBPedia, and Wikidata.
The system is also extended
for performing link prediction in KGs and rule learning from KG streams (RLvLR-Streams).
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RLvLR
Publication:
[1]
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Scalable Rule Learning via Learning Representation. IJCAI 2018: 2149-2155, DOI.