Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.
Xunkai Li|Daohan Su|Zhengyu Wu|Guang Zeng|Hongchao Qin|Rong-Hua Li|Guoren Wang
| Anthology ID: | DBLP:conf/www/LiSWZQLW25 |
|---|---|
| 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: | 2908-2923 |
| URL: | https://doi.org/10.1145/3696410.3714939 |
| DOI: | https://doi.org/10.1145/3696410.3714939 |
| DBLP: | conf/www/LiSWZQLW25 |
| BibTeX: |
@inproceedings{li-2025-toward,
author = {Xunkai Li and
Daohan Su and
Zhengyu Wu and
Guang Zeng and
Hongchao Qin and
Rong-Hua Li and
Guoren Wang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2908--2923},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714939},
doi = {https://doi.org/10.1145/3696410.3714939}
}