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Knowledge Graph

Known as: Knowledge Panel, Google Knowledge Graph, Knowledge Panels 
The Knowledge Graph is a knowledge base used by Google to enhance its search engine's search results with semantic-search information gathered from a… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions… 
Highly Cited
2018
Highly Cited
2018
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link… 
Review
2017
Review
2017
Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so… 
Review
2017
Review
2017
In the recent years, different Web knowledge graphs, both free and commercial, have been created. While Google coined the term… 
Highly Cited
2017
Highly Cited
2017
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… 
Review
2016
Review
2016
Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper… 
Highly Cited
2016
Highly Cited
2016
Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational… 
Highly Cited
2015
Highly Cited
2015
Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of… 
Highly Cited
2015
Highly Cited
2015
Knowledge graphs are useful resources for numerous AI applications, but they are far from completeness. Previous work such as… 
Highly Cited
2014
Highly Cited
2014
We deal with embedding a large scale knowledge graph composed of entities and relations into a continuous vector space…