Relational Message Passing for Knowledge Graph Completion-Reference-Cited by-同舟云学术

Relational Message Passing for Knowledge Graph Completion

Published:2021-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
language:
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Author:

Wang Hongwei¹,Ren Hongyu¹,Leskovec Jure¹

Affiliation:

1. Stanford University, Stanford, CA, USA

Funder

JPMorgan Chase

Docomo

NSF

Amazon

Aro

Chan Zuckerberg Biohub

Toshiba

UnitedHealth Group

Hitachi

Stanford Data Science Initiative

Wu Tsai Neurosciences Institute

Nvidia

KDDI

Dell

DARPA

NIH

Intel

JD.com

Visa

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467247

Reference40 articles.

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3. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795.

4. Antoine Bordes Jason Weston Ronan Collobert and Yoshua Bengio. 2011. Learning structured embeddings of knowledge bases. In AAAI. 301--306. Antoine Bordes Jason Weston Ronan Collobert and Yoshua Bengio. 2011. Learning structured embeddings of knowledge bases. In AAAI. 301--306.

5. Andrew Carlson Justin Betteridge Bryan Kisiel Burr Settles Estevam R Hruschka and Tom M Mitchell. 2010. Toward an architecture for never-ending language learning. In AAAI. 1306--1313. Andrew Carlson Justin Betteridge Bryan Kisiel Burr Settles Estevam R Hruschka and Tom M Mitchell. 2010. Toward an architecture for never-ending language learning. In AAAI. 1306--1313.

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