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} }