Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization.
Yankai Chen|Taotao Wang|Yixiang Fang|Yunyu Xiao
| Anthology ID: | DBLP:conf/www/0001WFX25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3108-3118 |
| URL: | https://doi.org/10.1145/3696410.3714591 |
| DOI: | https://doi.org/10.1145/3696410.3714591 |
| DBLP: | conf/www/0001WFX25 |
| BibTeX: |
@inproceedings{chen-2025-semisupervised,
author = {Yankai Chen and
Taotao Wang and
Yixiang Fang and
Yunyu Xiao},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {3108--3118},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714591},
doi = {https://doi.org/10.1145/3696410.3714591}
}