Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.
Binbin Hu|Zhicheng An|Zhengwei Wu|Ke Tu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou|Yufei Feng|Jiawei Chen
| Anthology ID: | DBLP:conf/wsdm/HuAWTL00F025 |
|---|---|
| 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: | 1-9 |
| URL: | https://doi.org/10.1145/3701551.3703525 |
| DOI: | https://doi.org/10.1145/3701551.3703525 |
| DBLP: | conf/wsdm/HuAWTL00F025 |
| BibTeX: |
@inproceedings{hu-2025-graph,
author = {Binbin Hu and
Zhicheng An and
Zhengwei Wu and
Ke Tu and
Ziqi Liu and
Zhiqiang Zhang and
Jun Zhou and
Yufei Feng and
Jiawei Chen},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {1--9},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703525},
doi = {https://doi.org/10.1145/3701551.3703525}
}