NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation

Guangzhu Tan

doi:10.1371/journal.pone.0321419

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Open Access

Peer-reviewed

Research Article

NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation

Guangzhu Tan

Roles Data curation, Formal analysis, Methodology, Resources, Software, Writing – original draft, Writing – review & editing

* E-mail: tanguangzhu@163.com

Affiliations School of Big Data and Artificial Intelligence, Chongqing Institute of Engineering, ChongQing, China, School of Big Data and Software Engineering, Chongqing University, ChongQing, China

https://orcid.org/0009-0000-5268-9418

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NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation

Guangzhu Tan

Published: April 29, 2025
https://doi.org/10.1371/journal.pone.0321419

About the Authors

Guangzhu Tan

Roles Data curation, Formal analysis, Methodology, Resources, Software, Writing – original draft, Writing – review & editing

* E-mail: tanguangzhu@163.com

Affiliations School of Big Data and Artificial Intelligence, Chongqing Institute of Engineering, ChongQing, China, School of Big Data and Software Engineering, Chongqing University, ChongQing, China

https://orcid.org/0009-0000-5268-9418

Competing Interests

The authors have declared that no competing interests exist.

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Memory recall
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