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Rule Learning from Knowledge Graphs Guided by Embedding Models
Published on 2018-11-223038 Views
Rules over a Knowledge Graph (KG) capture interpretable patterns in data and various methods for rule learning have been proposed. Since KGs are inherently incomplete, rules can be used to deduce miss
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Presentation
Rule Learning from Knowledge Graphs Guided by Embedding Models00:00
Rule Learning from KGs - 100:11
Untitled00:17
Rule Learning from KGs - 200:38
Rule Learning from KGs - 301:24
Rule Learning from KGs - 401:55
Rule Learning from KGs - 502:30
Absurd Rules due to Data Incompleteness02:57
Ideal KG - 103:47
Ideal KG - 204:14
Probabilistic Reconstruction of Ideal KG04:18
Hybrid Rule Measure - 104:40
Hybrid Rule Measure - 205:00
KG Embeddings05:29
Our Approach06:14
Rule Construction - 107:03
Rule Construction - 207:56
Rule Construction - 308:20
Rule Construction - 408:26
Rule Construction - 509:19
Rule Prunning09:54
Embedding-based Rule Quality - 210:42
Embedding-based Rule Quality - 311:15
Evaluation Setup12:54
Evaluation of Hybrid Rule Measure - 113:41
Evaluation of Hybrid Rule Measure - 214:24
Example Rules14:44
Related Work15:28
Conclusion15:51