CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion.
Hsi-Wen Chen|De-Nian Yang|Wang-Chien Lee|Philip S. Yu|Ming-Syan Chen
| Anthology ID: | DBLP:conf/www/ChenYLYC23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 545-555 |
| URL: | https://doi.org/10.1145/3543507.3583465 |
| DOI: | https://doi.org/10.1145/3543507.3583465 |
| DBLP: | conf/www/ChenYLYC23 |
| BibTeX: |
@inproceedings{chen-2023-cminet,
author = {Hsi-Wen Chen and
De-Nian Yang and
Wang-Chien Lee and
Philip S. Yu and
Ming-Syan Chen},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {545--555},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583465},
doi = {https://doi.org/10.1145/3543507.3583465}
}