FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.
Pengyang Zhou|Chaochao Chen|Weiming Liu|Xinting Liao|Fengyuan Yu|Zhihui Fu|Xingyu Lou|Wu Wen|Xiaolin Zheng|Jun Wang
| Anthology ID: | DBLP:conf/wsdm/Zhou00LYFLWZW25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 448-456 |
| URL: | https://doi.org/10.1145/3701551.3703493 |
| DOI: | https://doi.org/10.1145/3701551.3703493 |
| DBLP: | conf/wsdm/Zhou00LYFLWZW25 |
| BibTeX: |
@inproceedings{zhou-2025-fedgf,
author = {Pengyang Zhou and
Chaochao Chen and
Weiming Liu and
Xinting Liao and
Fengyuan Yu and
Zhihui Fu and
Xingyu Lou and
Wu Wen and
Xiaolin Zheng and
Jun Wang},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {448--456},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703493},
doi = {https://doi.org/10.1145/3701551.3703493}
}