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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… Expand
Wikipedia

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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Convolutional 2D Knowledge Graph Embeddings
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link… Expand
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Highly Cited
2017
Highly Cited
2017
Semi-Supervised Classification with Graph Convolutional Networks
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… Expand
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Review
2017
Review
2017
Knowledge graph refinement: A survey of approaches and evaluation methods
In the recent years, different Web knowledge graphs, both free and commercial, have been created. While Google coined the term… Expand
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Review
2017
Review
2017
Knowledge Graph Embedding: A Survey of Approaches and Applications
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
2017
Highly Cited
2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Machine learning about language can be improved by supplying it with specific knowledge and sources of external information. We… Expand
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Highly Cited
2016
Highly Cited
2016
Holographic Embeddings of Knowledge Graphs
Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data… Expand
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Review
2016
Review
2016
A Review of Relational Machine Learning for Knowledge Graphs
Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper… Expand
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Highly Cited
2015
Highly Cited
2015
Learning Entity and Relation Embeddings for Knowledge Graph Completion
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
Knowledge Graph Embedding via Dynamic Mapping Matrix
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
2014
Highly Cited
2014
Knowledge Graph Embedding by Translating on Hyperplanes
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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