RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction.
Hongliang Qiao|Shanshan Feng|Xutao Li|Huiwei Lin|Han Hu|Wei Wei|Yunming Ye
| Anthology ID: | DBLP:conf/cikm/QiaoFLLH0Y23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2065-2074 |
| URL: | https://doi.org/10.1145/3583780.3615041 |
| DOI: | https://doi.org/10.1145/3583780.3615041 |
| DBLP: | conf/cikm/QiaoFLLH0Y23 |
| BibTeX: |
@inproceedings{qiao-2023-rotdiff,
author = {Hongliang Qiao and
Shanshan Feng and
Xutao Li and
Huiwei Lin and
Han Hu and
Wei Wei and
Yunming Ye},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2065--2074},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615041},
doi = {https://doi.org/10.1145/3583780.3615041}
}