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A coarsening method for bipartite networks via weight-constrained label propagation

  • Published:2020-05 Issue: Volume:195 Page:105678
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Valejo Alan,Faleiros Thiago,Oliveira Maria Cristina Ferreira de,Lopes Alneu de Andrade

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil

State of São Paulo Research Foundation (FAPESP), Brazil

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coarsening effects on k-partite network classification;Applied Network Science;2023-12-05

2. Construction and Prediction of a Dynamic Multi-relationship Bipartite Network;Communications in Computer and Information Science;2023-11-27

3. Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks;IEEE Transactions on Network Science and Engineering;2023

4. Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks;Frontiers in Research Metrics and Analytics;2022-06-16

5. A review and comparative analysis of coarsening algorithms on bipartite networks;The European Physical Journal Special Topics;2021-06-07
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