Mining odd-length paths for link prediction in bipartite networks-Reference-Cited by-同舟云学术

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Mining odd-length paths for link prediction in bipartite networks

Published:2024-07 Issue: Volume:646 Page:129853
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Zhao Zhili,Wu Simin,Luo Ge,Zhang Nana,Hu Ahui,Liu Jun

Funder

National Natural Science Foundation of China

National College Students Innovation and Entrepreneurship Training Program

Natural Science Foundation of Gansu Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference54 articles.

1. MONN: A multi-objective neural network for predicting compound-protein interactions and affinities;Li;Cell Syst.,2020

2. Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships;Wang;Patterns,2023

3. The bipartite network projection-recommended algorithm for predicting long non-coding RNA-protein interactions;Zhao;Mol. Ther. Nucleic Acids,2018

4. A machine learning-based recommendation model for bipartite networks;Kart;Phys. A,2020

5. Partnership ties shape friendship networks: A dynamic social network study;Stadtfeld;Social Forces,2015

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