Graph mixed random network based on pagerank

HIGHLIGHTS

  • who: Qianli Ma and colleagues from the School of Computer and Information Technology, Shanxi University, Taiyuan, China have published the paper: Graph Mixed Random Network Based on PageRank, in the Journal: Symmetry 2022, 1678 of /2022/
  • what: In PMRGNN the authors design a PageRank-based propagation strategy for data augmentation. How to effectively aggregate multi-order neighbors is still one of this research focuses. The authors propose the graph random neural_network based on PageRank (PMRGNN), a simple and effective framework. Three approaches are used to solve the above problems: firstly, the authors design graph data . . .

     

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