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} }