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Graph embedding

Known as: Graphs and manifolds, Graph genus, Graph imbedding 
In topological graph theory, an embedding (also spelled imbedding) of a graph on a surface Σ is a representation of on Σ in which points of Σ are… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links. The… Expand
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Review
2018
Review
2018
Graph is an important data representation which appears in a wide diversity of real-world scenarios. Effective graph analytics… Expand
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Review
2018
Review
2018
Abstract Graphs, such as social networks, word co-occurrence networks, and communication networks, occur naturally in various… Expand
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Review
2017
Review
2017
Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so… Expand
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Highly Cited
2016
Highly Cited
2016
Graph embedding algorithms embed a graph into a vector space where the structure and the inherent properties of the graph are… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2007
Highly Cited
2007
A large family of algorithms - supervised or unsupervised; stemming from statistics or geometry theory - has been designed to… Expand
Highly Cited
2005
Highly Cited
2005
In the last decades, a large family of algorithms - supervised or unsupervised; stemming from statistic or geometry theory - have… Expand
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