Gated Graph Sequence Neural Networks ​

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Authors: Yujia Li, Richard Zemel, Marc Brockschmidt, Daniel Tarlow
Year: 2016
Journal: ICLR
DOI: 10.48550/arXiv.1511.05493
Publisher: https://arxiv.org/abs/1511.05493

Keywords: gated gnns, gnn

Abstract ​

We present a framework for training RNNs on graph-structured data using gated recurrent units.

Cite this paper ​

@misc{gatedgnn2016,
  title  = {Gated Graph Sequence Neural Networks},
  author = {Yujia Li, Richard Zemel, Marc Brockschmidt, Daniel Tarlow},
  year   = {2016},
  journal = {ICLR},
  doi    = {10.48550/arXiv.1511.05493},
  url    = {https://doi.org/10.48550/arXiv.1511.05493},
}

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