RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation.

Cheng Hsu|Cheng-Te Li


Anthology ID:DBLP:conf/www/HsuL21
Volume:WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.
Year:2021
Venue:The Web Conference (WWW)
Publisher:ACM / IW3C2
Pages:2968-2979
URL:https://doi.org/10.1145/3442381.3449957
DOI:https://doi.org/10.1145/3442381.3449957
DBLP:conf/www/HsuL21
BibTeX:
@inproceedings{hsu-2021-retagnn, author = {Cheng Hsu and Cheng-Te Li}, editor = {Jure Leskovec and Marko Grobelnik and Marc Najork and Jie Tang and Leila Zia}, title = {{RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation}}, booktitle = {{WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021}}, pages = {2968--2979}, publisher = {ACM / IW3C2}, year = {2021}, url = {https://doi.org/10.1145/3442381.3449957}, doi = {https://doi.org/10.1145/3442381.3449957} }