On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features

Emanuele Rossi, Henry Kenlay, Maria I. Gorinova 0001, Benjamin Paul Chamberlain, Xiaowen Dong 0001, Michael M. Bronstein. On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. In Bastian Rieck, Razvan Pascanu, editors, Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event. Volume 198 of Proceedings of Machine Learning Research, pages 11, PMLR, 2022. [doi]

@inproceedings{RossiK0C0B22,
  title = {On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features},
  author = {Emanuele Rossi and Henry Kenlay and Maria I. Gorinova 0001 and Benjamin Paul Chamberlain and Xiaowen Dong 0001 and Michael M. Bronstein},
  year = {2022},
  url = {https://proceedings.mlr.press/v198/rossi22a.html},
  researchr = {https://researchr.org/publication/RossiK0C0B22},
  cites = {0},
  citedby = {0},
  pages = {11},
  booktitle = {Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event},
  editor = {Bastian Rieck and Razvan Pascanu},
  volume = {198},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}