Node Feature Kernels Increase Graph Convolutional Network Robustness

Mohamed-El-Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis. Node Feature Kernels Increase Graph Convolutional Network Robustness. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 6225-6241, PMLR, 2022. [doi]

@inproceedings{SeddikWLV22,
  title = {Node Feature Kernels Increase Graph Convolutional Network Robustness},
  author = {Mohamed-El-Amine Seddik and Changmin Wu and Johannes F. Lutzeyer and Michalis Vazirgiannis},
  year = {2022},
  url = {https://proceedings.mlr.press/v151/el-amine-seddik22a.html},
  researchr = {https://researchr.org/publication/SeddikWLV22},
  cites = {0},
  citedby = {0},
  pages = {6225-6241},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event},
  editor = {Gustau Camps-Valls and Francisco J. R. Ruiz and Isabel Valera},
  volume = {151},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}