https://github.com/edisonleeeee/sgc_tf2.0
Python implement of SGC with Tensorflow 2.0.
https://github.com/edisonleeeee/sgc_tf2.0
Last synced: over 1 year ago
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Python implement of SGC with Tensorflow 2.0.
- Host: GitHub
- URL: https://github.com/edisonleeeee/sgc_tf2.0
- Owner: EdisonLeeeee
- Created: 2019-12-14T14:01:38.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-17T03:35:45.000Z (over 6 years ago)
- Last Synced: 2025-01-12T10:27:49.426Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 10.2 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Simple Graph Convolution
Python implement of [Simplifying Graph Convolutional Networks](https://arxiv.org/abs/1902.07153) with Tensorflow 2.0.
This repo is modified from [Tiiiger/SGC](https://github.com/Tiiiger/SGC).
# Requirements
+ Python 3.7
+ Tensorflow 2.0
+ numpy
+ scipy
+ sklearn
+ matplotlib
# Datasets
+ cora
+ citeseer
+ pubmed
Please note that the dataset partition is rather **different** (10% for train, 10% for validation and 80% for test), which leads to a higher accuracy.