HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.

@inproceedings{ding-2023-hyperformer, 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 and Derek Zhiyuan Cheng}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer}}, booktitle = {{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}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591999}, doi = {https://doi.org/10.1145/3539618.3591999} }