FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution.
Haizhou Du|Haolin Wu|Zijie Zhu|Zicheng Shi
| Anthology ID: | DBLP:conf/www/DuWZS26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 5075-5086 |
| URL: | https://doi.org/10.1145/3774904.3792142 |
| DOI: | https://doi.org/10.1145/3774904.3792142 |
| DBLP: | conf/www/DuWZS26 |
| BibTeX: |
@inproceedings{du-2026-fedrgl,
author = {Haizhou Du and
Haolin Wu and
Zijie Zhu and
Zicheng Shi},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {5075--5086},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792142},
doi = {https://doi.org/10.1145/3774904.3792142}
}