research
∙
09/01/2023
On the Aggregation of Rules for Knowledge Graph Completion
Rule learning approaches for knowledge graph completion are efficient, i...
share
research
∙
09/16/2021
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
Neural embedding-based machine learning models have shown promise for pr...
research
∙
12/10/2020
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
Neural embedding-based machine learning models have shown promise for pr...
research
∙
04/09/2020
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
Most of todays work on knowledge graph completion is concerned with sub-...
research
∙
10/17/2018
Do Embedding Models Perform Well for Knowledge Base Completion?
In this work, we put into question the effectiveness of the evaluation m...
research
∙
11/18/2015
Using Abduction in Markov Logic Networks for Root Cause Analysis
IT infrastructure is a crucial part in most of today's business operatio...
research
∙
08/15/2012