FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Zhijun Dong|Likang Wu|Kai Zhang|Ye Liu|Yanghai Zhang|Zhi Li|Hongke Zhao|Enhong Chen
| Anthology ID: | DBLP:conf/cikm/DongW00ZLZC24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 497-507 |
| URL: | https://doi.org/10.1145/3627673.3679770 |
| DOI: | https://doi.org/10.1145/3627673.3679770 |
| DBLP: | conf/cikm/DongW00ZLZC24 |
| BibTeX: |
@inproceedings{dong-2024-fzr,
author = {Zhijun Dong and
Likang Wu and
Kai Zhang and
Ye Liu and
Yanghai Zhang and
Zhi Li and
Hongke Zhao and
Enhong Chen},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {497--507},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679770},
doi = {https://doi.org/10.1145/3627673.3679770}
}