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Open Access

Peer-reviewed

Research Article

Link prediction and feature relevance in knowledge networks: A machine learning approach

Antonio Zinilli ,

Contributed equally to this work with: Antonio Zinilli, Giovanni Cerulli

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: antonio.zinilli@ircres.cnr.it

Affiliation IRCRES-Research Institute on Sustainable Economic Growth, CNR-National Research Council, Rome, Italy

https://orcid.org/0000-0002-3539-0016

⨯
Giovanni Cerulli

Contributed equally to this work with: Antonio Zinilli, Giovanni Cerulli

Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

Affiliation IRCRES-Research Institute on Sustainable Economic Growth, CNR-National Research Council, Rome, Italy
⨯

Link prediction and feature relevance in knowledge networks: A machine learning approach

Antonio Zinilli,
Giovanni Cerulli

x

Published: November 30, 2023
https://doi.org/10.1371/journal.pone.0290018

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