Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
Junwei Yin|Min Gao|Kai Shu|Wentao Li|Yinqiu Huang|Zongwei Wang
| Anthology ID: | DBLP:conf/www/Yin0S0H025 |
|---|---|
| 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: | 2838-2849 |
| URL: | https://doi.org/10.1145/3696410.3714906 |
| DOI: | https://doi.org/10.1145/3696410.3714906 |
| DBLP: | conf/www/Yin0S0H025 |
| BibTeX: |
@inproceedings{yin-2025-graph,
author = {Junwei Yin and
Min Gao and
Kai Shu and
Wentao Li and
Yinqiu Huang and
Zongwei Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2838--2849},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714906},
doi = {https://doi.org/10.1145/3696410.3714906}
}