Skip to main content

Tools for the Spectral Graph Wavelet Transformation and other GSP operations

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sgwt-0.1.2.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sgwt-0.1.2-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file sgwt-0.1.2.tar.gz.

File metadata

  • Download URL: sgwt-0.1.2.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for sgwt-0.1.2.tar.gz
Algorithm Hash digest
SHA256 a4e4e38ae6aff17ac15283cc204657031f8b21eef0fda52d4ef9b9dd4ee2eaab
MD5 53f682824d4de9813257ba2c9ee5da99
BLAKE2b-256 4f7ec2ae630df71045910f95c824fab9339497cad33428b3784571d9bd19c009

See more details on using hashes here.

File details

Details for the file sgwt-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: sgwt-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for sgwt-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3b4f34942e065618ff121a33e959c7426640f420ec6db848bab36f4af9e5ba52
MD5 290d256e1b9fd73f9dcdff64c0bb9ad1
BLAKE2b-256 54f51ca87fca78fa29f3c1c6f3781e5df801fb9cf89428c0e82e9eb7acf7ae9f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page