# Graph embedding

## Papers overview

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Review

2018

Review

2018

- Knowl.-Based Syst.
- 2018

Graphs, such as social networks, word co-occurrence networks, and communication networks, occur naturally in various real-world… (More)

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2016

Highly Cited

2016

- KDD
- 2016

Graph embedding algorithms embed a graph into a vector space where the structure and the inherent properties of the graph are… (More)

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2015

Highly Cited

2015

- AAAI
- 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

Highly Cited

2015

- WWW
- 2015

This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful… (More)

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2015

Highly Cited

2015

- ACL
- 2015

Knowledge graphs are useful resources for numerous AI applications, but they are far from completeness. Previous work such as… (More)

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2014

Highly Cited

2014

- AAAI
- 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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2010

2010

- IEEE Transactions on Image Processing
- 2010

We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding… (More)

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2007

Highly Cited

2007

- IEEE Transactions on Pattern Analysis and Machine…
- 2007

A large family of algorithms - supervised or unsupervised; stemming from statistics or geometry theory - has been designed to… (More)

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2005

Highly Cited

2005

- IEEE Computer Society Conference on Computer…
- 2005

In the last decades, a large family of algorithms - supervised or unsupervised; stemming from statistic or geometry theory - have… (More)

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2003

Highly Cited

2003

- SenSys
- 2003

The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and… (More)

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