MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. Abu-El-Haija, S., Perozzi, B., Kapoor, A., Alipourfard, N., Lerman, K., Harutyunyan, H., Steeg, G. V., & Galstyan, A. In Chaudhuri, K. & Salakhutdinov, R., editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, volume 97, of Proceedings of Machine Learning Research, pages 21–29, 2019. PMLR.
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing [link]Paper  bibtex   
@inproceedings{DBLP:conf/icml/Abu-El-HaijaPKA19,
  author       = {Sami Abu{-}El{-}Haija and
                  Bryan Perozzi and
                  Amol Kapoor and
                  Nazanin Alipourfard and
                  Kristina Lerman and
                  Hrayr Harutyunyan and
                  Greg Ver Steeg and
                  Aram Galstyan},
  editor       = {Kamalika Chaudhuri and
                  Ruslan Salakhutdinov},
  title        = {MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
                  Neighborhood Mixing},
  booktitle    = {Proceedings of the 36th International Conference on Machine Learning,
                  {ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {97},
  pages        = {21--29},
  publisher    = {{PMLR}},
  year         = {2019},
  url          = {http://proceedings.mlr.press/v97/abu-el-haija19a.html},
  timestamp    = {Tue, 11 Jun 2019 15:37:38 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/Abu-El-HaijaPKA19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0