Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
Martin Ringsquandl|Houssem Sellami|Marcel Hildebrandt|Dagmar Beyer|Sylwia Henselmeyer|Sebastian Weber|Mitchell Joblin
| Anthology ID: | DBLP:conf/cikm/RingsquandlSHBH21 |
|---|---|
| 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: | 1538-1547 |
| URL: | https://doi.org/10.1145/3459637.3482464 |
| DOI: | https://doi.org/10.1145/3459637.3482464 |
| DBLP: | conf/cikm/RingsquandlSHBH21 |
| BibTeX: |
@inproceedings{ringsquandl-2021-power,
author = {Martin Ringsquandl and
Houssem Sellami and
Marcel Hildebrandt and
Dagmar Beyer and
Sylwia Henselmeyer and
Sebastian Weber and
Mitchell Joblin},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {1538--1547},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482464},
doi = {https://doi.org/10.1145/3459637.3482464}
}