Implications of sparsity and high triangle density for graph representation learning

Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy. Implications of sparsity and high triangle density for graph representation learning. In Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent, editors, International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Volume 206 of Proceedings of Machine Learning Research, pages 5449-5473, PMLR, 2023. [doi]

@inproceedings{SansfordMWR23,
  title = {Implications of sparsity and high triangle density for graph representation learning},
  author = {Hannah Sansford and Alexander Modell and Nick Whiteley and Patrick Rubin-Delanchy},
  year = {2023},
  url = {https://proceedings.mlr.press/v206/sansford23a.html},
  researchr = {https://researchr.org/publication/SansfordMWR23},
  cites = {0},
  citedby = {0},
  pages = {5449-5473},
  booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain},
  editor = {Francisco J. R. Ruiz and Jennifer G. Dy and Jan-Willem van de Meent},
  volume = {206},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}