PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.
Benedek Rozemberczki|Paul Scherer|Yixuan He|George Panagopoulos|Alexander Riedel|Maria Sinziana Astefanoaei|Oliver Kiss|Ferenc Béres|Guzmán López|Nicolas Collignon|Rik Sarkar
| Anthology ID: | DBLP:conf/cikm/RozemberczkiSHP21 |
|---|---|
| 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: | 4564-4573 |
| URL: | https://doi.org/10.1145/3459637.3482014 |
| DOI: | https://doi.org/10.1145/3459637.3482014 |
| DBLP: | conf/cikm/RozemberczkiSHP21 |
| BibTeX: |
@inproceedings{rozemberczki-2021-pytorch,
author = {Benedek Rozemberczki and
Paul Scherer and
Yixuan He and
George Panagopoulos and
Alexander Riedel and
Maria Sinziana Astefanoaei and
Oliver Kiss and
Ferenc B\'{e}res and
Guzm\'{a}n L\'{o}pez and
Nicolas Collignon and
Rik Sarkar},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {4564--4573},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482014},
doi = {https://doi.org/10.1145/3459637.3482014}
}