On the Aggregation of Rules for Knowledge Graph Completion

Patrick Betz, Stefan Lüdtke, Christian Meilicke +1

Rule learning approaches for knowledge graph completion are efficient, interpretable and competitive to purely neural models. The rule aggregation problem is concerned with finding…