Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors

Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu. Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. In Feida Zhu 0002, Beng Chin Ooi, Chunyan Miao, editors, KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. pages 3002-3010, ACM, 2021. [doi]

@inproceedings{HeDCJWLY21,
  title = {Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors},
  author = {Yue He and Yancheng Dong and Peng Cui and Yuhang Jiao and Xiaowei Wang and Ji Liu and Philip S. Yu},
  year = {2021},
  doi = {10.1145/3447548.3467205},
  url = {https://doi.org/10.1145/3447548.3467205},
  researchr = {https://researchr.org/publication/HeDCJWLY21},
  cites = {0},
  citedby = {0},
  pages = {3002-3010},
  booktitle = {KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021},
  editor = {Feida Zhu 0002 and Beng Chin Ooi and Chunyan Miao},
  publisher = {ACM},
  isbn = {978-1-4503-8332-5},
}