Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
Bowen Hao|Jing Zhang|Hongzhi Yin|Cuiping Li|Hong Chen
| Anthology ID: | DBLP:conf/wsdm/HaoZYL021 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 265-273 |
| URL: | https://doi.org/10.1145/3437963.3441738 |
| DOI: | https://doi.org/10.1145/3437963.3441738 |
| DBLP: | conf/wsdm/HaoZYL021 |
| BibTeX: |
@inproceedings{hao-2021-pretraining,
author = {Bowen Hao and
Jing Zhang and
Hongzhi Yin and
Cuiping Li and
Hong Chen},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {265--273},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441738},
doi = {https://doi.org/10.1145/3437963.3441738}
}