Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges.
Jia Wang|Yawen Li|Zhe Xue|Yingxia Shao|Zeli Guan|Wenling Li
| Anthology ID: | DBLP:conf/www/WangLXSGL25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4582-4591 |
| URL: | https://doi.org/10.1145/3696410.3714722 |
| DOI: | https://doi.org/10.1145/3696410.3714722 |
| DBLP: | conf/www/WangLXSGL25 |
| BibTeX: |
@inproceedings{wang-2025-horizontal,
author = {Jia Wang and
Yawen Li and
Zhe Xue and
Yingxia Shao and
Zeli Guan and
Wenling Li},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4582--4591},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714722},
doi = {https://doi.org/10.1145/3696410.3714722}
}