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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
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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
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
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
2015
Highly Cited
2015
This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful… 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
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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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