Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts

Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova. Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{BazhenovKMBP23,
  title = {Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts},
  author = {Gleb Bazhenov and Denis Kuznedelev and Andrey Malinin and Artem Babenko and Liudmila Prokhorenkova},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/eec7fee9a8595ca964b9a11562767345-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/BazhenovKMBP23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}