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What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization

Belth, C., Zheng, X., Vreeken, J., Koutra, D.

2020MPG.PuRe (Max Planck Society)38 citations

Abstract

Author: Belth, Caleb et al.; Genre: Conference Paper; Published online: 2020; Title: What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization

Topics & Concepts

Automatic summarizationQuestion answeringKnowledge graphComputer scienceGraphInformation retrievalMissing dataNatural language processingArtificial intelligenceTheoretical computer scienceMachine learningAdvanced Graph Neural NetworksTopic ModelingNatural Language Processing Techniques
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization | Litcius