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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

2000-2018
05010015020002018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
In the recent years, different web knowledge graphs, both free and commercial, have been created. While Google coined the term… (More)
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Highly Cited
2016
Highly Cited
2016
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… (More)
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2016
2016
Knowledge graph embedding aims to represent entities and relations in a large-scale knowledge graph as elements in a continuous… (More)
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Highly Cited
2015
Highly Cited
2015
Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge… (More)
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2015
2015
We consider the problem of embedding knowledge graphs (KGs) into continuous vector spaces. Existing methods can only deal with… (More)
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2015
2015
This paper considers the problem of embedding Knowledge Graphs (KGs) consisting of entities and relations into lowdimensional… (More)
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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. TransE is… (More)
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Highly Cited
2014
Highly Cited
2014
Recent years have witnessed a proliferation of large-scale knowledge bases, including Wikipedia, Freebase, YAGO, Microsoft's… (More)
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Highly Cited
2014
Highly Cited
2014
We examine the embedding approach to reason new relational facts from a largescale knowledge graph and a text corpus. We propose… (More)
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Highly Cited
2013
Highly Cited
2013
Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately… (More)
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