Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning
- DOI
- 10.1109/tpami.2026.3711847
- Published
- 2026-11
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3711847,
title = {Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning},
author = {Yeyu Yan and Shuai Zheng and Zhenfeng Zhu and Dong Chen and Wentao Zhang and Yawei Zhao and Kunlun He and Yao zhao},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3711847},
url = {https://doi.org/10.1109/tpami.2026.3711847}
}RIS
TY - JOUR TI - Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning AU - Yeyu Yan AU - Shuai Zheng AU - Zhenfeng Zhu AU - Dong Chen AU - Wentao Zhang AU - Yawei Zhao AU - Kunlun He AU - Yao zhao PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3711847 UR - https://doi.org/10.1109/tpami.2026.3711847 ER -
APA
Yan, Y., Zheng, S., Zhu, Z., Chen, D., Zhang, W., Zhao, Y., He, K., & zhao, Y. (2026). Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3711847
Source records
- crossref · retrieved 2026-11-05T09:31:17.082Z