Tools for the Spectral Graph Wavelet Transformation
Project description
Spectral Graph Wavelet Transformation (SGWT)
A Collection of SGWT Functions for Large Sparse Networks
Introduction
A highly customizable, sparse-friendly SGWT module. Existing GSP tools for the SGWT over sparse networks is limited. This package provides tools to design, approximate, and implement a custom SGWT kernel for use over sparse networks.
The specific implementation is adventagous, as it does not require any modification if the graph itself changes.
No documentation available yet, available soon.
Installation Notes
More details will be added on specific versions for this python implementation.
- Python 3.8.2
- scikit-sparse
See below for instruction on scikit-sparse.
https://github.com/scikit-sparse/scikit-sparse
We enforce the following for compatability
pip install --force-reinstall "scipy<=1.9.1"
pip install --force-reinstall "numpy<=1.23.2"
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sgwt-0.1.1.tar.gz.
File metadata
- Download URL: sgwt-0.1.1.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a52943f7bee8ccc20c9f24f52834445a0c687a397d32cb7aecfe2535e36d08b1
|
|
| MD5 |
137442ec7e0f2735d21a294a22a3bfc6
|
|
| BLAKE2b-256 |
aea23b4e7563ef1f585a245e5b07f5a9a60ba212fa2a155cf92edf75efedf3ad
|
File details
Details for the file sgwt-0.1.1-py3-none-any.whl.
File metadata
- Download URL: sgwt-0.1.1-py3-none-any.whl
- Upload date:
- Size: 13.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ec0d94cd5e6dd5df33a2d3d8b4bb6c843c75ce26989b5ab5e880b82139ee17e
|
|
| MD5 |
51818f837089daccda942a9695c4fbe3
|
|
| BLAKE2b-256 |
d111ba923eeb8068b720f0b972e017feb9211817062e071d6828fa54810874f6
|