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} }