Metadata-Version: 2.1
Name: gnnex
Version: 1.0.3
Summary: draw different colors to show edges' importance
Home-page: https://github.com/ifkid/gnnex
Author: Zhang Pin
Author-email: zhangpin@geetest.com
License: MIT LICENSE
Download-URL: https://pypi.org/manage/project/gnnexplainer/releases/
Description: 
        ![AppVeyor](https://img.shields.io/badge/build-success-brightgreen)
        ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/gnnex)
        ![PyPI - Wheel](https://img.shields.io/pypi/wheel/gnnex)
        ![PyPI](https://img.shields.io/pypi/v/gnnex)
        ![GitHub](https://img.shields.io/github/license/ifkid/gnnex)
        ## 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. 
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
