Semi-Supervised Classification with Graph Convolutional Networks ​

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Authors: Thomas N. Kipf, Max Welling
Year: 2017
Journal: ICLR
DOI: 10.48550/arXiv.1609.02907
Publisher: https://arxiv.org/abs/1609.02907

Keywords: gcn, graph convolutional network

Abstract ​

We present a scalable approach for semi-supervised learning on graph-structured data based on an efficient variant of convolutional neural networks.

Cite this paper ​

@misc{gcn2017,
  title  = {Semi-Supervised Classification with Graph Convolutional Networks},
  author = {Thomas N. Kipf, Max Welling},
  year   = {2017},
  journal = {ICLR},
  doi    = {10.48550/arXiv.1609.02907},
  url    = {https://doi.org/10.48550/arXiv.1609.02907},
}

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