The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"

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Deep Learning GSDN
Overview

GSDN-F and GSDN-EF

This repository provides a reference implementation of GSDN-F and GSDN-EF as described in the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives".

Requirements

Install the following packages:

Basic Usage

$ python gsdnf.py --input cora --alpha 0.6 --K 4 --epochs 200 --lr 0.02 --hidden_num 16
$ python gsdnef.py --input cora --alpha 0.6 --K 4 --epochs 200 --lr 0.02 --hidden_num 16

noted: your can just checkout gsdnf.py and gsdnef.py to get what you want.

Citing

If you find GSDN-F and/or GSDN-EF useful in your research, please cite our paper:

@misc{2006.04386,
 Author = {Guoji Fu and Yifan Hou and Jian Zhang and Kaili Ma and Barakeel Fanseu Kamhoua and James Cheng},
 Title = {Understanding Graph Neural Networks from Graph Signal Denoising Perspectives},
 Year = {2020}
}
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Comments
  • freelancing in graph neural networks?

    freelancing in graph neural networks?

    @fuguoji i have seen that you are interested in graph neural networks have a task dealing with this, are you interested in freelancing, i have sent you an email with more details

    opened by ghost 0
  • How to add the noise to the dataset?

    How to add the noise to the dataset?

    Hi! Thanks for your great work. The signal of cora dataset is mutli-dimensional, so how to add noise to the dataset? Is it right to add a gaussian noise to each dimension?

    opened by cjfcsjt 0
Owner
Guoji Fu
Guoji Fu
GitHub
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