Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu. Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 11247-11256, 2019. [doi]

@inproceedings{ZouHWJSG19,
  title = {Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks},
  author = {Difan Zou and Ziniu Hu and Yewen Wang and Song Jiang and Yizhou Sun and Quanquan Gu},
  year = {2019},
  url = {http://papers.nips.cc/paper/9303-layer-dependent-importance-sampling-for-training-deep-and-large-graph-convolutional-networks},
  researchr = {https://researchr.org/publication/ZouHWJSG19},
  cites = {0},
  citedby = {0},
  pages = {11247-11256},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}