Learning Visibility Attention Graph Representation for Time Series Forecasting.

Shengzhong Mao|Xiao-Jun Zeng


Anthology ID:DBLP:conf/cikm/MaoZ23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4180-4184
URL:https://doi.org/10.1145/3583780.3615289
DOI:https://doi.org/10.1145/3583780.3615289
DBLP:conf/cikm/MaoZ23
BibTeX:
@inproceedings{mao-2023-learning, author = {Shengzhong Mao and Xiao-Jun Zeng}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Learning Visibility Attention Graph Representation for Time Series Forecasting}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {4180--4184}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615289}, doi = {https://doi.org/10.1145/3583780.3615289} }