Variational Graph Auto-Encoders ​

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Authors: Thomas N. Kipf, Max Welling
Year: 2018
Journal: NeurIPS
DOI: 10.48550/arXiv.1611.07308
Publisher: https://arxiv.org/abs/1611.07308

Keywords: graph vae, gnn

Abstract ​

We introduce the variational graph auto-encoder a framework for unsupervised learning on graph-structured data.

Cite this paper ​

@misc{graphvae2018,
  title  = {Variational Graph Auto-Encoders},
  author = {Thomas N. Kipf, Max Welling},
  year   = {2018},
  journal = {NeurIPS},
  doi    = {10.48550/arXiv.1611.07308},
  url    = {https://doi.org/10.48550/arXiv.1611.07308},
}

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