Empirical Inference

Constant Curvature Graph Convolutional Networks

2020

Conference Paper

ei


Author(s): Bachmann*, G. and Becigneul*, G. and Ganea, O.-E.
Book Title: Proceedings of the 37th International Conference on Machine Learning (ICML)
Volume: 119
Pages: 486--496
Year: 2020
Month: July

Series: Proceedings of Machine Learning Research
Editors: Hal Daumé III and Aarti Singh
Publisher: PMLR

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Place: Virtual Conference

Note: *equal contribution
State: Published
URL: http://proceedings.mlr.press/v119/bachmann20a/bachmann20a.pdf

BibTex

@conference{BacBecGan,
  title = {Constant Curvature Graph Convolutional Networks},
  author = {Bachmann*, G. and Becigneul*, G. and Ganea, O.-E.},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning (ICML)},
  volume = {119},
  pages = {486--496},
  series = {Proceedings of Machine Learning Research},
  editors = {Hal Daumé III and Aarti Singh},
  publisher = {PMLR},
  month = jul,
  year = {2020},
  note = {*equal contribution},
  doi = {},
  url = {http://proceedings.mlr.press/v119/bachmann20a/bachmann20a.pdf},
  month_numeric = {7}
}