CogDL: A Comprehensive Library for Graph Deep Learning.
Yukuo Cen|Zhenyu Hou|Yan Wang|Qibin Chen|Yizhen Luo|Zhongming Yu|Hengrui Zhang|Xingcheng Yao|Aohan Zeng|Shiguang Guo|Yuxiao Dong|Yang Yang|Peng Zhang|Guohao Dai|Yu Wang|Chang Zhou|Hongxia Yang|Jie Tang
| Anthology ID: | DBLP:conf/www/CenHWCLYZYZGDYZ23 |
|---|---|
| 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: | 747-758 |
| URL: | https://doi.org/10.1145/3543507.3583472 |
| DOI: | https://doi.org/10.1145/3543507.3583472 |
| DBLP: | conf/www/CenHWCLYZYZGDYZ23 |
| BibTeX: |
@inproceedings{cen-2023-cogdl,
author = {Yukuo Cen and
Zhenyu Hou and
Yan Wang and
Qibin Chen and
Yizhen Luo and
Zhongming Yu and
Hengrui Zhang and
Xingcheng Yao and
Aohan Zeng and
Shiguang Guo and
Yuxiao Dong and
Yang Yang and
Peng Zhang and
Guohao Dai and
Yu Wang and
Chang Zhou and
Hongxia Yang and
Jie Tang},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{CogDL: A Comprehensive Library for Graph Deep Learning}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {747--758},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583472},
doi = {https://doi.org/10.1145/3543507.3583472}
}