Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification

Maximilian Stadler, Bertrand Charpentier, Simon Geisler, Daniel Zügner, Stephan Günnemann. Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 18033-18048, 2021. [doi]

@inproceedings{StadlerCGZG21,
  title = {Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification},
  author = {Maximilian Stadler and Bertrand Charpentier and Simon Geisler and Daniel Zügner and Stephan Günnemann},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/95b431e51fc53692913da5263c214162-Abstract.html},
  researchr = {https://researchr.org/publication/StadlerCGZG21},
  cites = {0},
  citedby = {0},
  pages = {18033-18048},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}