Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen 0001, Chaochao Chen 0001, JunZhou Huang. Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 4838-4839, ACM, 2022. [doi]

@inproceedings{WuBZLY00H22,
  title = {Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection},
  author = {Bingzhe Wu and Yatao Bian and Hengtong Zhang and Jintang Li and Junchi Yu and Liang Chen 0001 and Chaochao Chen 0001 and JunZhou Huang},
  year = {2022},
  doi = {10.1145/3534678.3542597},
  url = {https://doi.org/10.1145/3534678.3542597},
  researchr = {https://researchr.org/publication/WuBZLY00H22},
  cites = {0},
  citedby = {0},
  pages = {4838-4839},
  booktitle = {KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022},
  editor = {Aidong Zhang and Huzefa Rangwala},
  publisher = {ACM},
  isbn = {978-1-4503-9385-0},
}