Holographic Embeddings of Knowledge Graphs

Holographic Embeddings of Knowledge Graphs

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Learning embeddings of entities and relations is an efficient and versatile method to perform machine learning on relational data such as knowledge graphs. In this work, we propose holographic embeddings (HolE) to learn compositional vector space representations of entire knowledge graphs. The propo...

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Bibliographic Details
Main Authors: Nickel, Maximilian, Rosasco, Lorenzo, Poggio, Tomaso
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2015
Subjects:
Associative Memory
Knowledge Graph
Machine Learning
Online Access:http://hdl.handle.net/1721.1/100203

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