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Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations

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Learn-Graph-Laplacian

This is an implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations

https://arxiv.org/pdf/1406.7842.pdf

The original code can be found on the authors website web.media.mit.edu/~xdong/pub.html

Tests

  • Precision, Recall, F-measure are comparable to those mentioned in the paper for both ER graph and Gaussian RBF. For BA graph, it is less.
  • No parameters are changed for Gaussian RBF. For ER the threshold is slightly increased.

If you spot any bugs feel free to open an issue or mail me: ark.sadhu2904@gmail.com

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Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations

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  • Python 100.0%