GitHub - zrgcityu/Graph-Involved-Frame

Implementation of GIF (Grpah-involved Frame). Please refer to our paper for details.

Run demo.py, denosing.py and nla.py for demos of thresholding-reconsturction, graph signal denosing and non-linear approximation.

The names of pickle files in folde 'train_filters' indicate the type of the base/frame, e.g basis_filter_1_20 = GIB(1,20), frame_1_20 = GIF(1,20).

Python packages required:

pymanopt, networkx, sortedcontainers, autograd, sknetwork, numpy, scipy.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
GraphBior_scripts		GraphBior_scripts
GraphSS_scripts		GraphSS_scripts
__pycache__		__pycache__
nla_result		nla_result
signals		signals
trained_filters		trained_filters
.gitattributes		.gitattributes
LICENSE		LICENSE
README.md		README.md
clustering.py		clustering.py
comparision_plot.py		comparision_plot.py
demo.py		demo.py
denoising.py		denoising.py
denoising_result.xlsx		denoising_result.xlsx
new_traffic.mat		new_traffic.mat
new_xy.mat		new_xy.mat
nla.py		nla.py
opt_A.py		opt_A.py
opt_B.py		opt_B.py
stage_1.py		stage_1.py
stage_2.py		stage_2.py
subgraph_frame_utils.py		subgraph_frame_utils.py
training_time.xlsx		training_time.xlsx

zrgcityu/Graph-Involved-Frame