A Graph Temporal Information Learning Framework for Popularity Prediction.

Caipiao Yang|Peng Bao|Rong Yan|Jianian Li|Xuanya Li


Anthology ID:DBLP:conf/www/YangBYLL22
Volume:Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:239-242
URL:https://doi.org/10.1145/3487553.3524231
DOI:https://doi.org/10.1145/3487553.3524231
DBLP:conf/www/YangBYLL22
BibTeX:
@inproceedings{yang-2022-graph, author = {Caipiao Yang and Peng Bao and Rong Yan and Jianian Li and Xuanya Li}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{A Graph Temporal Information Learning Framework for Popularity Prediction}}, booktitle = {{Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022}}, pages = {239--242}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3487553.3524231}, doi = {https://doi.org/10.1145/3487553.3524231} }