Skip to main content

draw different colors to show edges' importance

Project description

AppVeyor PyPI - Python Version PyPI - Wheel PyPI GitHub

Introduction

gnnex is to explain the complex GCN model, it shows by drawing the most important edges in whole networks.

Absolutely, there are many different basic GCN models, so you can define your own model.

By rewriting graph.py to define your own GCN Model and rewriting train.py to train your own GCN modeland generate the WEIGHT matrix.

At last, draw the important edges according to WEIGHT matrix above.

Installed

keras==2.3.1

numpy==1.17.2

pandas==0.25.3

matplotlib==3.1.1

scipy==1.3.2

networkx==2.2

seaborn==0.9.0

Usage

pip install gnnex

Basic Model

You should define your own model according to your task to be resolved. By rewriting graph.py to define model and rewriting train.py to train your own model.

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

gnnex-1.0.3.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

gnnex-1.0.3-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file gnnex-1.0.3.tar.gz.

File metadata

  • Download URL: gnnex-1.0.3.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for gnnex-1.0.3.tar.gz
Algorithm Hash digest
SHA256 f6715c7b1e12233043955795180b76214e15d0be517d4519365b410d9d1acc4f
MD5 8b79bae9d28bcc36a64fce0aa68fc1d6
BLAKE2b-256 c76d4a2f9cee9cc822d205519ee47b30f03773800858abe48f412240d23e26e1

See more details on using hashes here.

File details

Details for the file gnnex-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: gnnex-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for gnnex-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 23d20e614ee214446ffc09724f6000fffa3a1d623bf09984201fe89eaa0600d9
MD5 130314801e2c29b58547f39604ccbe0d
BLAKE2b-256 b5690c6b769dea9ec93b409cb1aa7c9781d45c713b268a5a329d354037d9a289

See more details on using hashes here.

Supported by

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