Code for the paper "On the Power of Edge Independent Graph Models"

Konstantinos Sotiropoulos

Last update: Oct 26, 2021

Related tags

Deep Learning edge_independent_models

Overview

Edge Independent Graph Models

Code for the paper:
"On the Power of Edge Independent Graph Models"
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E Tsourakakis
to appear in NeurIPS 2021

To run the code use the command: python graphGeneration.py -f <relative_path_input_file> Results are saved in pickle files.

Our code also uses the following external packages:

Code for CELL algorithm (NetGAN without GAN):
https://github.com/hheidrich/CELL
Powerlaw package:
https://github.com/jeffalstott/powerlaw

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Code for the paper "On the Power of Edge Independent Graph Models"

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Overview

Edge Independent Graph Models

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