HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu 0001, Derek Zhiyuan Cheng. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. In Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete, editors, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. pages 2062-2066, ACM, 2023. [doi]

@inproceedings{DingLPCWHC0C23,
  title = {HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer},
  author = {Kaize Ding and Albert Jiongqian Liang and Bryan Perozzi and Ting Chen and Ruoxi Wang and Lichan Hong and Ed H. Chi and Huan Liu 0001 and Derek Zhiyuan Cheng},
  year = {2023},
  doi = {10.1145/3539618.3591999},
  url = {https://doi.org/10.1145/3539618.3591999},
  researchr = {https://researchr.org/publication/DingLPCWHC0C23},
  cites = {0},
  citedby = {0},
  pages = {2062-2066},
  booktitle = {Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023},
  editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete},
  publisher = {ACM},
  isbn = {978-1-4503-9408-6},
}