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).

·       RLvLR

·       Link Predication

·       RLvLR-Stream

 

Publication:

[1] Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang: Scalable Rule Learning via Learning Representation. IJCAI 2018: 2149-2155, DOI.