Knowledge graph embedding based on dynamic adaptive atrous convolution and attention mechanism for link prediction-Reference-Cited by-同舟云学术

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Knowledge graph embedding based on dynamic adaptive atrous convolution and attention mechanism for link prediction

Published:2024-05 Issue:3 Volume:61 Page:103642
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Deng Weibin^ORCID,Zhang Yiteng^ORCID,Yu Hong^ORCID,Li Hongxing

Publisher

Elsevier BV

Reference54 articles.

1. Dbpedia: A nucleus for a web of open data;Auer,2007

2. Hypernetwork knowledge graph embeddings;Balažević,2019

3. The unified medical language system (UMLS): integrating biomedical terminology;Bodenreider;Nucleic Acids Research,2004

4. Freebase: a collaboratively created graph database for structuring human knowledge;Bollacker,2008

5. Question answering with subgraph embeddings;Bordes,2014

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