Mask Combination of Multi-Layer Graphs for Global Structure Inference

@article{Bayram2020MaskCO,
  title={Mask Combination of Multi-Layer Graphs for Global Structure Inference},
  author={Eda Bayram and Dorina Thanou and Elif Vural and Pascal Frossard},
  journal={IEEE Transactions on Signal and Information Processing over Networks},
  year={2020},
  volume={6},
  pages={394-406}
}
  • Eda Bayram, Dorina Thanou, +1 author P. Frossard
  • Published 22 October 2019
  • Computer Science, Engineering, Mathematics
  • IEEE Transactions on Signal and Information Processing over Networks
Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been developed to learn the graph structure underlying a set of observations captured in a data space. Although real-world data is often acquired in settings where relationships are influenced by a priori known rules, such domain knowledge is still not well exploited in structure inference problems. In this paper, we identify the structure of signals… Expand
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