Python implementation of the method proposed in the paper:
Tremblay, Nicolas, and Pierre Borgnat. "Graph wavelets for multiscale community mining." IEEE Transactions on Signal Processing 62.20 (2014): 5227-5239.
- Final report:
./report.pdf
- All the necessary code is provided in the directory
./src
- Examples of the method application are provided in jupyter-notebooks:
- experiment on a small Sales-Pardo graph with visualization:
./example_sp_graph_toy.ipynb
- experiment on a bigger Sales-Pardo graph reproducing results provided in the original paper:
./example_sp_graph.ipynb
- experiment on a non-uniform swiss roll manifold:
./example_suiss_roll.ipynb
- experiment on a small Sales-Pardo graph with visualization:
- All plots and graphs' visualizations are saved to the directory
./plots