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} }