kfzyqin / CondGen

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Implementation of CondGen, NeurIPS 2019.

Please cite the following work if you find the code useful.

@inproceedings{yang2018meta,
	Author = {Yang, Carl and Zhuang, Peiye and Shi, Wenhan and Luu, Alan and Pan, Li},
	Booktitle = {NeurIPS},
	Title = {Conditional structure generation through graph variational generative adversarial nets},
	Year = {2019}
}

Contact: Peiye Zhuang ([e-mail]), Carl Yang ([e-mail])

Prerequisites

• Python3
• Pytorch 0.4
• Tookits like python-igraph, powerlaw, networkx etc.

Data

Our DBLP dataset and TCGA dataset are released on Google Drive.

Training

python train.py

with default setttings in options.py.