GitHub - pintu-dot/DeGLIF

This file contains the instructions for running code for the expriements of paper "DeGLIF for Label Noise Robust Node Classification using GNNs"

-> Sample code is provided for DeGLIF_sum and DeGLIf_mv

-> Folder data contains neccesary datasets, i.e., Cora, Citseer and Amazon Photo

-> Naming of ipynb files is as follows: Model name_datase. For example DeGLIF_sum_Cora means DeFLIF_sum implementation for Cora dataset.

#installation requirements -> It is recomended to create a conda environment with the following:

Python 3.7.11
the necessary python packages versions are memtioned in requirements.txt, and can be installed using Requirements.ipynb.

Name		Name	Last commit message	Last commit date
DeGLIF_mv_Amazon_Photo.ipynb		DeGLIF_mv_Amazon_Photo.ipynb
DeGLIF_mv_Citeseer.ipynb		DeGLIF_mv_Citeseer.ipynb
DeGLIF_mv_Cora.ipynb		DeGLIF_mv_Cora.ipynb
DeGLIF_sum_Amazon_Photo.ipynb		DeGLIF_sum_Amazon_Photo.ipynb
DeGLIF_sum_Citeseer.ipynb		DeGLIF_sum_Citeseer.ipynb
DeGLIF_sum_Cora.ipynb		DeGLIF_sum_Cora.ipynb
DeGLIF_sum_Cora_extracted.py		DeGLIF_sum_Cora_extracted.py
DeGLIF_sum_Cora_optimized.py		DeGLIF_sum_Cora_optimized.py
Readme.md		Readme.md
Readme_Unofficial.md		Readme_Unofficial.md
Requirements.ipynb		Requirements.ipynb
group_effect.ipynb		group_effect.ipynb
requirements.txt		requirements.txt
wilcoxon_test.ipynb		wilcoxon_test.ipynb

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