AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting.
Hongyang Su|Xiaolong Wang|Yang Qin
| Anthology ID: | DBLP:conf/cikm/Su0Q21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3439-3442 |
| URL: | https://doi.org/10.1145/3459637.3482054 |
| DOI: | https://doi.org/10.1145/3459637.3482054 |
| DBLP: | conf/cikm/Su0Q21 |
| BibTeX: |
@inproceedings{su-2021-agcnt,
author = {Hongyang Su and
Xiaolong Wang and
Yang Qin},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {3439--3442},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482054},
doi = {https://doi.org/10.1145/3459637.3482054}
}