Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach.
Bo Hui|Da Yan|Wei-Shinn Ku|Wenlu Wang
| Anthology ID: | DBLP:conf/cikm/Hui0KW20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 555-564 |
| URL: | https://doi.org/10.1145/3340531.3411882 |
| DOI: | https://doi.org/10.1145/3340531.3411882 |
| DBLP: | conf/cikm/Hui0KW20 |
| BibTeX: |
@inproceedings{hui-2020-predicting,
author = {Bo Hui and
Da Yan and
Wei-Shinn Ku and
Wenlu Wang},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {555--564},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411882},
doi = {https://doi.org/10.1145/3340531.3411882}
}