Inductive Representation Learning on Large Graphs ​

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Authors: William L. Hamilton, Rex Ying, Jure Leskovec
Year: 2018
Journal: NeurIPS
DOI: 10.48550/arXiv.1706.02216
Publisher: https://arxiv.org/abs/1706.02216

Keywords: graphsage, gnn

Abstract ​

We present GraphSAGE a general inductive framework that efficiently generates node embeddings for previously unseen data.

Cite this paper ​

@misc{graphsage2018,
  title  = {Inductive Representation Learning on Large Graphs},
  author = {William L. Hamilton, Rex Ying, Jure Leskovec},
  year   = {2018},
  journal = {NeurIPS},
  doi    = {10.48550/arXiv.1706.02216},
  url    = {https://doi.org/10.48550/arXiv.1706.02216},
}

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