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All Projects → KelestZ → CondGen

KelestZ / CondGen

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

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python
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deep-learninggraphsgenerative-model

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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 ([email protected]), Carl Yang ([email protected])

Results

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.

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