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AISTATS 2019: Lovász Convolutional Networks
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Lovász Convolutional Networks

Source code for AISTATS 2019 paper: Lovász Convolutional Networks.


  • Compatible with TensorFlow 1.x and Python 3.x.
  • Dependencies can be installed using requirements.txt.


  • The current code allows evaluation on synthetic datasets which can be downloaded from here.

Evaluate pretrained model:

  • Run for setting up the environment and extracting the datasets and pre-trained models.
  • contains TensorFlow (1.x) based implementation of LCN (proposed method).
  • Execute for evaluating pre-trained LCN model on all four datasets.

Training from scratch:

  • Execute for setting up the environment and extracting datasets.

  • For training LCN run:

    python -data citeseer -name new_run -kernel <lovasz/kls/none>


Please cite us if you use this code.

  author    = {Prateek Yadav and
               Madhav Nimishakavi and
               Naganand Yadati and
	       Shikhar Vashishth and
               Arun Rajkumar and
               Partha Talukdar},
  title     = {Lovasz Convolutional Networks},
  journal   = {CoRR},
  volume    = {abs/1805.11365},
  year      = {2018},
  url       = {},
  archivePrefix = {arXiv},
  eprint    = {1805.11365},
  timestamp = {Mon, 13 Aug 2018 16:46:04 +0200},
  biburl    = {},
  bibsource = {dblp computer science bibliography,}

For any clarification, comments, or suggestions please create an issue or contact

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