A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
Cheng Yang|Xumeng Gong|Chuan Shi|Philip S. Yu
| Anthology ID: | DBLP:conf/www/YangGSY23 |
|---|---|
| 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: | 251-262 |
| URL: | https://doi.org/10.1145/3543507.3583282 |
| DOI: | https://doi.org/10.1145/3543507.3583282 |
| DBLP: | conf/www/YangGSY23 |
| BibTeX: |
@inproceedings{yang-2023-posttraining,
author = {Cheng Yang and
Xumeng Gong and
Chuan Shi and
Philip S. Yu},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{A Post-Training Framework for Improving Heterogeneous Graph Neural Networks}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {251--262},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583282},
doi = {https://doi.org/10.1145/3543507.3583282}
}