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}
}