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} }